Instructions to use hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 580 Bytes
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"additional_special_tokens": null,
"bos_token": "<s>",
"clean_up_tokenization_spaces": true,
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": {
"__type": "AddedToken",
"content": "<mask>",
"lstrip": true,
"normalized": true,
"rstrip": false,
"single_word": false
},
"model_max_length": 20,
"pad_token": "<pad>",
"sep_token": "</s>",
"sp_model_kwargs": {},
"special_tokens_map_file": null,
"src_lang": "eng_Latn",
"tgt_lang": null,
"tokenizer_class": "NllbTokenizer",
"tokenizer_file": null,
"unk_token": "<unk>"
}
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