Instructions to use mosesdaudu/Dyula_French with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mosesdaudu/Dyula_French with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("mosesdaudu/Dyula_French") model = AutoModelForSeq2SeqLM.from_pretrained("mosesdaudu/Dyula_French", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mosesdaudu/Dyula_French: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/mosesdaudu/Dyula_French/resolve/main/tokenizer.json
- Command line
-
hf download hf://mosesdaudu/Dyula_French/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mosesdaudu/Dyula_French/resolve/main/tokenizer.json
17.3 MB
- Xet hash:
- 57bbe9d05c7f7452c264e6c1508156c4ba0f195720c76e2d3f7b1f013f84b68f
- Size of remote file:
- 17.3 MB
- SHA256:
- f43ce3deacc5ca45173811ce104786501982fd65dd9d72a3f458965391f2a52a
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