Instructions to use crochereau/lobster-mgm-11M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crochereau/lobster-mgm-11M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="crochereau/lobster-mgm-11M")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("crochereau/lobster-mgm-11M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 439 Bytes
f98078b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"added_tokens_decoder": {},
"bos_token": "<bos>",
"clean_up_tokenization_spaces": true,
"cls_df": "<cls_sf>",
"cls_dna": "<cls_dna>",
"cls_prot": "<cls_prot>",
"cls_token": "<cls>",
"do_lower_case": false,
"eos_token": "<eos>",
"mask_token": "<mask>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"sep_token": "<sep>",
"tokenizer_class": "MgmTokenizer",
"unk_token": "<unk>"
}
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