Transformers
TensorBoard
Safetensors
kh
m2m_100
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use S-Sethisak/KOCS_NLLB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use S-Sethisak/KOCS_NLLB with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("S-Sethisak/KOCS_NLLB") model = AutoModelForSeq2SeqLM.from_pretrained("S-Sethisak/KOCS_NLLB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from S-Sethisak/KOCS_NLLB: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/S-Sethisak/KOCS_NLLB/resolve/main/tokenizer.json
- Command line
-
hf download hf://S-Sethisak/KOCS_NLLB/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/S-Sethisak/KOCS_NLLB/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- a742d34940b6e9f5c83d84ed8e4d3bf73dab434d21329faa09a776da8764ced8
- Size of remote file:
- 32.2 MB
- SHA256:
- b10406a22f844af70a53995e7c6c0f5e70fa52e3c4cd00b506039207fef48cb8
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