Instructions to use chaeyeonl33/NLLB_finetuned_KOENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaeyeonl33/NLLB_finetuned_KOENG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chaeyeonl33/NLLB_finetuned_KOENG") model = AutoModelForSeq2SeqLM.from_pretrained("chaeyeonl33/NLLB_finetuned_KOENG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from chaeyeonl33/NLLB_finetuned_KOENG: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/chaeyeonl33/NLLB_finetuned_KOENG/resolve/main/tokenizer.json
- Command line
-
hf download hf://chaeyeonl33/NLLB_finetuned_KOENG/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chaeyeonl33/NLLB_finetuned_KOENG/resolve/main/tokenizer.json
17.3 MB
- Xet hash:
- 83b7db7d331d55998d71fd9ef77c84846ed622f0a169deb151e62ef8622d59ea
- Size of remote file:
- 17.3 MB
- SHA256:
- 8f77f4195ee4934e58d7f9a633f1dc404a77451c9c04b4c0a3332538753246f3
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