Instructions to use siditom/co-model_mask-rexpr-75w_1ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siditom/co-model_mask-rexpr-75w_1ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("siditom/co-model_mask-rexpr-75w_1ft") model = AutoModelForSeq2SeqLM.from_pretrained("siditom/co-model_mask-rexpr-75w_1ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from siditom/co-model_mask-rexpr-75w_1ft: direct link, hf CLI and curl.
- Browser
- Download file 437 Bytes
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https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/tokenizer_config.json
- Command line
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hf download hf://siditom/co-model_mask-rexpr-75w_1ft/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/tokenizer_config.json
437 Bytes
| {"bos_token": "<s>", "cls_token": "<cls>", "eos_token": "</s>", "mask_token": "<msk>", "model_max_length": 512, "pad_token": "<pad>", "padding_side": "right", "sep_token": "<sep>", "unk_token": "<unk>", "special_tokens_map_file": "/mount/COnTRA/tokenizers/contra_tokenizer_gen_exprrefined/special_tokens_map.json", "name_or_path": "/mount/COnTRA/tokenizers/contra_tokenizer_gen_exprrefined", "tokenizer_class": "PreTrainedTokenizerFast"} |