Instructions to use prajjwal1/roberta_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/roberta_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("prajjwal1/roberta_new") model = AutoModelForMultipleChoice.from_pretrained("prajjwal1/roberta_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from prajjwal1/roberta_new: direct link, hf CLI and curl.
- Browser
- Download file 289 Bytes
-
https://huggingface.co/prajjwal1/roberta_new/resolve/main/tokenizer_config.json
- Command line
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hf download hf://prajjwal1/roberta_new/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/prajjwal1/roberta_new/resolve/main/tokenizer_config.json
289 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"} |