Instructions to use eja67/MBIAS_adapter_fseed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eja67/MBIAS_adapter_fseed with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eja67/MBIAS_adapter_fseed", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 491 Bytes
0ea6b1f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"add_prefix_space": null,
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"extra_special_tokens": [],
"is_local": false,
"legacy": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<unk>",
"padding_side": "right",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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