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[model_cards] Switch to a more explicit domain for the media bucket

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Julien Chaumond 2020-10-27 18:08:05 +01:00
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2
model_cards/albert-base-v1-README.md
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@ -6,5 +6,5 @@ license: apache-2.0
---
<a href="https://huggingface.co/exbert/?model=albert-base-v1">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/albert-xxlarge-v2-README.md
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@ -6,5 +6,5 @@ license: apache-2.0
---
<a href="https://huggingface.co/exbert/?model=albert-xxlarge-v2">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ComVE-distilgpt2/README.md
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@ -63,5 +63,5 @@ The model achieved 13.7582/13.8026 BLEU scores on SemEval2020 Task4: Commonsense
```
<a href="https://huggingface.co/exbert/?model=aliosm/ComVE-distilgpt2">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ComVE-gpt2-large/README.md
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@ -64,5 +64,5 @@ The model achieved 16.5110/15.9299 BLEU scores on SemEval2020 Task4: Commonsense
```
<a href="https://huggingface.co/exbert/?model=aliosm/ComVE-gpt2-large">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ComVE-gpt2-medium/README.md
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@ -78,5 +78,5 @@ These are some examples generated by the model:
```
<a href="https://huggingface.co/exbert/?model=aliosm/ComVE-gpt2-medium">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ComVE-gpt2/README.md
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@ -63,5 +63,5 @@ The model achieved 14.0547/13.6534 BLEU scores on SemEval2020 Task4: Commonsense
```
<a href="https://huggingface.co/exbert/?model=aliosm/ComVE-gpt2">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ai-soco-c++-roberta-small-clas/README.md
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@ -52,5 +52,5 @@ The model achieved 93.19%/92.88% accuracy on AI-SOCO task and ranked in the 4th
```
<a href="https://huggingface.co/exbert/?model=aliosm/ai-soco-c++-roberta-small-clas">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ai-soco-c++-roberta-small/README.md
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@ -51,5 +51,5 @@ The model trained on Google Colab platform with 8 TPU cores for 200 epochs, 16\*
```
<a href="https://huggingface.co/exbert/?model=aliosm/ai-soco-c++-roberta-small">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ai-soco-c++-roberta-tiny-96-clas/README.md
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@ -52,5 +52,5 @@ The model achieved 91.12%/91.02% accuracy on AI-SOCO task and ranked in the 7th
```
<a href="https://huggingface.co/exbert/?model=aliosm/ai-soco-c++-roberta-tiny-96-clas">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ai-soco-c++-roberta-tiny-96/README.md
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@ -51,5 +51,5 @@ The model trained on Google Colab platform with 8 TPU cores for 200 epochs, 16\*
```
<a href="https://huggingface.co/exbert/?model=aliosm/ai-soco-c++-roberta-tiny-96">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ai-soco-c++-roberta-tiny-clas/README.md
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@ -52,5 +52,5 @@ The model achieved 87.66%/87.46% accuracy on AI-SOCO task and ranked in the 9th
```
<a href="https://huggingface.co/exbert/?model=aliosm/ai-soco-c++-roberta-tiny-clas">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/aliosm/ai-soco-c++-roberta-tiny/README.md
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@ -51,5 +51,5 @@ The model trained on Google Colab platform with 8 TPU cores for 200 epochs, 32\*
```
<a href="https://huggingface.co/exbert/?model=aliosm/ai-soco-c++-roberta-tiny">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/bert-base-cased-README.md
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@ -226,5 +226,5 @@ Glue test results:
```
<a href="https://huggingface.co/exbert/?model=bert-base-cased">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/bert-base-german-cased-README.md
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@ -7,7 +7,7 @@ tags:
---
<a href="https://huggingface.co/exbert/?model=bert-base-german-cased">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
# German BERT

2
model_cards/bert-base-uncased-README.md
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@ -227,5 +227,5 @@ Glue test results:
```
<a href="https://huggingface.co/exbert/?model=bert-base-uncased">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/codegram/calbert-base-uncased/README.md
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@ -87,5 +87,5 @@ embeddings.detach()
CALBERT was trained and evaluated by [Txus Bach](https://twitter.com/txustice), as part of [Codegram](https://www.codegram.com)'s applied research.
<a href="https://huggingface.co/exbert/?model=codegram/calbert-base-uncased&modelKind=bidirectional&sentence=M%27agradaria%20força%20saber-ne%20més">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/codegram/calbert-tiny-uncased/README.md
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@ -87,5 +87,5 @@ embeddings.detach()
CALBERT was trained and evaluated by [Txus Bach](https://twitter.com/txustice), as part of [Codegram](https://www.codegram.com)'s applied research.
<a href="https://huggingface.co/exbert/?model=codegram/calbert-tiny-uncased&modelKind=bidirectional&sentence=M%27agradaria%20força%20saber-ne%20més">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/deepset/bert-base-german-cased-oldvocab/README.md
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@ -7,7 +7,7 @@ tags:
---
<a href="https://huggingface.co/exbert/?model=bert-base-german-cased">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
# German BERT with old vocabulary

2
model_cards/distilbert-base-uncased-README.md
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@ -214,5 +214,5 @@ Glue test results:
```
<a href="https://huggingface.co/exbert/?model=distilbert-base-uncased">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/distilgpt2-README.md
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@ -6,5 +6,5 @@ license: apache-2.0
---
<a href="https://huggingface.co/exbert/?model=distilgpt2">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/distilroberta-base-README.md
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@ -6,5 +6,5 @@ license: apache-2.0
---
<a href="https://huggingface.co/exbert/?model=distilroberta-base">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/elgeish/cs224n-squad2.0-albert-base-v2/README.md
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@ -17,7 +17,7 @@ set, students must make sure not to use the official SQuAD2.0 dev set in any way
used the official SQuAD2.0 dev set for model selection.
<a href="https://huggingface.co/exbert/?model=elgeish/cs224n-squad2.0-albert-base-v2">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
## Results

2
model_cards/elgeish/cs224n-squad2.0-albert-large-v2/README.md
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@ -17,7 +17,7 @@ set, students must make sure not to use the official SQuAD2.0 dev set in any way
used the official SQuAD2.0 dev set for model selection.
<a href="https://huggingface.co/exbert/?model=elgeish/cs224n-squad2.0-albert-large-v2">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
## Results

2
model_cards/elgeish/cs224n-squad2.0-albert-xxlarge-v1/README.md
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@ -17,7 +17,7 @@ set, students must make sure not to use the official SQuAD2.0 dev set in any way
used the official SQuAD2.0 dev set for model selection.
<a href="https://huggingface.co/exbert/?model=elgeish/cs224n-squad2.0-albert-xxlarge-v1">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
## Results

2
model_cards/gpt2-README.md
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@ -159,5 +159,5 @@ The model achieves the following results without any fine-tuning (zero-shot):
```
<a href="https://huggingface.co/exbert/?model=gpt2">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/huggingface/CodeBERTa-language-id/README.md
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@ -1,6 +1,6 @@
---
language: code
thumbnail: https://hf-dinosaur.huggingface.co/CodeBERTa/CodeBERTa.png
thumbnail: https://cdn-media.huggingface.co/CodeBERTa/CodeBERTa.png
tags:
- test
datasets:

4
model_cards/huggingface/CodeBERTa-small-v1/README.md
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@ -1,6 +1,6 @@
---
language: code
thumbnail: https://hf-dinosaur.huggingface.co/CodeBERTa/CodeBERTa.png
thumbnail: https://cdn-media.huggingface.co/CodeBERTa/CodeBERTa.png
---
# CodeBERTa
@ -26,7 +26,7 @@ The (small) **model** is a 6-layer, 84M parameters, RoBERTa-like Transformer mod
### Tensorboard for this training ⤵️
[![tb](https://hf-dinosaur.huggingface.co/CodeBERTa/tensorboard.png)](https://tensorboard.dev/experiment/irRI7jXGQlqmlxXS0I07ew/#scalars)
[![tb](https://cdn-media.huggingface.co/CodeBERTa/tensorboard.png)](https://tensorboard.dev/experiment/irRI7jXGQlqmlxXS0I07ew/#scalars)
## Quick start: masked language modeling prediction

2
model_cards/roberta-base-README.md
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@ -230,5 +230,5 @@ Glue test results:
```
<a href="https://huggingface.co/exbert/?model=roberta-base">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/roberta-large-README.md
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@ -231,5 +231,5 @@ Glue test results:
```
<a href="https://huggingface.co/exbert/?model=roberta-base">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/seiya/oubiobert-base-uncased/README.md
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@ -47,5 +47,5 @@ Eprint = {arXiv:2005.07202},
```
<a href="https://huggingface.co/exbert/?model=seiya/oubiobert-base-uncased&sentence=Coronavirus%20disease%20(COVID-19)%20is%20caused%20by%20SARS-COV2%20and%20represents%20the%20causative%20agent%20of%20a%20potentially%20fatal%20disease%20that%20is%20of%20great%20global%20public%20health%20concern.">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/xlm-mlm-en-2048-README.md
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@ -6,5 +6,5 @@ license: cc-by-nc-4.0
---
<a href="https://huggingface.co/exbert/?model=xlm-mlm-en-2048">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>

2
model_cards/xlm-roberta-base-README.md
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@ -6,5 +6,5 @@ license: mit
---
<a href="https://huggingface.co/exbert/?model=xlm-roberta-base">
<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>