Instructions to use jhu-clsp/kreyol-mt-scratch-pubtrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhu-clsp/kreyol-mt-scratch-pubtrain with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jhu-clsp/kreyol-mt-scratch-pubtrain") model = AutoModelForSeq2SeqLM.from_pretrained("jhu-clsp/kreyol-mt-scratch-pubtrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e4a12209e6ab5adf5027954d09f4fe384d1353b496456c926649823e62762d6
- Size of remote file:
- 312 MB
- SHA256:
- 08274454da22b8b7ca4f99bf26764becb662be7e97b5b9abda738ab3afc88b06
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