Instructions to use randomDude26/nllb_khasi_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use randomDude26/nllb_khasi_sft with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-1.3B") model = PeftModel.from_pretrained(base_model, "randomDude26/nllb_khasi_sft") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "extra_special_tokens": [ | |
| "kha_Latn", | |
| "tcy_Knda", | |
| "gon_Deva" | |
| ], | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 1024, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "sp_model_kwargs": {}, | |
| "src_lang": "hin_Deva", | |
| "tgt_lang": null, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |