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[doc] model sharing: mention README.md + tweaks
cc @lysandrejik @thomwolf
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@ -493,19 +493,22 @@ Your model will then be accessible through its identifier, a concatenation of yo
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"username/pretrained_model"
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```
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**Please add a README.md model card** to the repo under `model_cards/` with: model description, training params (dataset, preprocessing, hyperparameters), evaluation results, intended uses & limitations, etc.
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Your model now has a page on huggingface.co/models 🔥
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Anyone can load it from code:
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```python
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tokenizer = AutoTokenizer.from_pretrained("username/pretrained_model")
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model = AutoModel.from_pretrained("username/pretrained_model")
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```
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Finally, list all your files on S3:
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List all your files on S3:
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```shell
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transformers-cli s3 ls
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# List all your S3 objects.
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```
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You can also delete files:
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You can also delete unneeded files:
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```shell
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transformers-cli s3 rm …
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@ -26,19 +26,22 @@ Your model will then be accessible through its identifier, a concatenation of yo
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"username/pretrained_model"
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```
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**Please add a README.md model card** to the repo under `model_cards/` with: model description, training params (dataset, preprocessing, hyperparameters), evaluation results, intended uses & limitations, etc.
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Your model now has a page on huggingface.co/models 🔥
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Anyone can load it from code:
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```python
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tokenizer = AutoTokenizer.from_pretrained("username/pretrained_model")
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model = AutoModel.from_pretrained("username/pretrained_model")
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```
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Finally, list all your files on S3:
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List all your files on S3:
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```shell
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transformers-cli s3 ls
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# List all your S3 objects.
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```
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You can also delete files:
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You can also delete unneeded files:
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```shell
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transformers-cli s3 rm …
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