Instructions to use jhu-clsp/kreyol-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhu-clsp/kreyol-mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jhu-clsp/kreyol-mt") model = AutoModelForSeq2SeqLM.from_pretrained("jhu-clsp/kreyol-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jhu-clsp/kreyol-mt: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/jhu-clsp/kreyol-mt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jhu-clsp/kreyol-mt/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jhu-clsp/kreyol-mt/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- 7b7385c0cc7d234e61c019fc804404dc146666c1e32e6fbb1d050eb3f6875a5e
- Size of remote file:
- 2.44 GB
- SHA256:
- e66465dc74e12d2325eac179fa973ab31725f6eaab065c67cf4607783bb83ae3
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