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 step_2000/optimizer.bin from mosesdaudu/Dyula_French: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/mosesdaudu/Dyula_French/resolve/main/step_2000/optimizer.bin
- Command line
-
hf download hf://mosesdaudu/Dyula_French/step_2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mosesdaudu/Dyula_French/resolve/main/step_2000/optimizer.bin
4.92 GB
- Xet hash:
- 3d4b264d811e97bb8c1299bb9da7012886ef4bfa8068347f42c13ba446b57a4f
- Size of remote file:
- 4.92 GB
- SHA256:
- 238be9b3cb67319799a27791c7bbddf6251ea3285f2271d6ff3fbb5b5912ffd0
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