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Model: simonlevine/biomed_roberta_base-4096-speedfix
pytorch roberta lm-head masked-lm
fill-mask mask_token: <mask>
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								$
								curl -X POST \

									-H "Authorization: Bearer YOUR_ORG_OR_USER_API_TOKEN" \

								-H "Content-Type: application/json" \

									-d '"json encoded string"' \

								https://api-inference.huggingface.co/models/simonlevine/biomed_roberta_base-4096-speedfix
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simonlevine/biomed_roberta_base-4096-speedfix simonlevine/biomed_roberta_base-4096-speedfix
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pytorch

tf

Contributed by

simonlevine Simon Levine
5 models

How to use this model directly from the 🤗/transformers library: 

			
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			from transformers import AutoTokenizer, AutoModelWithLMHead

			tokenizer = AutoTokenizer.from_pretrained("simonlevine/biomed_roberta_base-4096-speedfix")
			
			model = AutoModelWithLMHead.from_pretrained("simonlevine/biomed_roberta_base-4096-speedfix")
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List of model files
File name Last modified File size
config.json Wed, 29 Jul 2020 18:13:08 GMT 647.0B
merges.txt Wed, 29 Jul 2020 18:13:30 GMT 445.6KB
pytorch_model.bin Wed, 29 Jul 2020 18:13:11 GMT 486.0MB
special_tokens_map.json Wed, 29 Jul 2020 18:13:29 GMT 150.0B
tokenizer_config.json Wed, 29 Jul 2020 18:13:28 GMT 419.0B
vocab.json Wed, 29 Jul 2020 18:13:09 GMT 877.8KB
Done