Transformers
PyTorch
French
bert
language-model
flaubert
french
flaubert-base
uncased
asr
speech
oral
natural language understanding
NLU
spoken language understanding
SLU
understanding
Instructions to use nherve/flaubert-oral-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nherve/flaubert-oral-ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nherve/flaubert-oral-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nherve/flaubert-oral-ft: direct link, hf CLI and curl.
- Browser
- Download file 550 MB
-
https://huggingface.co/nherve/flaubert-oral-ft/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nherve/flaubert-oral-ft/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nherve/flaubert-oral-ft/resolve/main/pytorch_model.bin
550 MB
- Xet hash:
- 297684ae4c68df1cdfcbaa1d9e4321723510035a3d4ccc48587277e3db71cfa4
- Size of remote file:
- 550 MB
- SHA256:
- 1612b0b303a24779814e0d633a4a16208588ce9446bad2ae4e3ce3c04132563b
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