Instructions to use danlou/roberta-large-finetuned-csqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danlou/roberta-large-finetuned-csqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("danlou/roberta-large-finetuned-csqa") model = AutoModelForMultipleChoice.from_pretrained("danlou/roberta-large-finetuned-csqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from danlou/roberta-large-finetuned-csqa: direct link, hf CLI and curl.
- Browser
- Download file 328 Bytes
-
https://huggingface.co/danlou/roberta-large-finetuned-csqa/resolve/dadcd61b4ecc12bcdf66d34327dfa4960d575087/tokenizer_config.json
- Command line
-
hf download hf://danlou/roberta-large-finetuned-csqa@dadcd61b4ecc12bcdf66d34327dfa4960d575087/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/danlou/roberta-large-finetuned-csqa/resolve/dadcd61b4ecc12bcdf66d34327dfa4960d575087/tokenizer_config.json
328 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-large", "tokenizer_class": "RobertaTokenizer"} |