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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfb9f2283286291757f32f8bfb400cce281679e1f6e4ef5370b27a79ea521a35
- Size of remote file:
- 1.38 MB
- SHA256:
- dfedeef6b63a18132c5427de1a9f08c6ed7203e704e2eb88d9f731aed7ff80bd
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