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_6000/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_6000/optimizer.bin
- Command line
-
hf download hf://mosesdaudu/Dyula_French/step_6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mosesdaudu/Dyula_French/resolve/main/step_6000/optimizer.bin
4.92 GB
- Xet hash:
- f197005978d479029d458b3d14aab6f5aedd8bbb882fd41003b26d545e679add
- Size of remote file:
- 4.92 GB
- SHA256:
- fdea4c016ba64ea02b25c564928e2dbb33dff4c30753e2fc4637c1283616bd63
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