Instructions to use cfinley/punct_restore_fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfinley/punct_restore_fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfinley/punct_restore_fr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfinley/punct_restore_fr") model = AutoModelForTokenClassification.from_pretrained("cfinley/punct_restore_fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cfinley/punct_restore_fr: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/cfinley/punct_restore_fr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cfinley/punct_restore_fr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cfinley/punct_restore_fr/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- fe69e7aa8e8b927e71549406a160815b0953589c057276d5d60b3d83ffa0e856
- Size of remote file:
- 440 MB
- SHA256:
- 799b6c8692bf8a5e41950b41508032b2c1a06cffe87aa6d980d208ade3975d39
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