Instructions to use Defetya/roberta_smal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Defetya/roberta_smal with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Defetya/roberta_smal") model = AutoModelForMultipleChoice.from_pretrained("Defetya/roberta_smal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Defetya/roberta_smal: direct link, hf CLI and curl.
- Browser
- Download file 405 Bytes
-
https://huggingface.co/Defetya/roberta_smal/resolve/dd7af0629a7470b6769608a067bce8bf2cd8fd1d/tokenizer_config.json
- Command line
-
hf download hf://Defetya/roberta_smal@dd7af0629a7470b6769608a067bce8bf2cd8fd1d/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/Defetya/roberta_smal/resolve/dd7af0629a7470b6769608a067bce8bf2cd8fd1d/tokenizer_config.json
405 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sp_model_kwargs": {}, "special_tokens_map_file": "./special_tokens_map.json", "name_or_path": "./", "tokenizer_class": "XLMRobertaTokenizer"} |