Instructions to use NairaRahim/NLLB_Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NairaRahim/NLLB_Finetune with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NairaRahim/NLLB_Finetune") model = AutoModelForSeq2SeqLM.from_pretrained("NairaRahim/NLLB_Finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3beaf07170fc05c95269a31ea037ca5b36c5eae257f12a7bcacc0ad89918463
- Size of remote file:
- 5.12 MB
- SHA256:
- 8580812225a639cd3be107205cdcd482a39a65b930ba40aac5dd64a0d5f50c3f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.