Instructions to use Ghani-25/SummFinFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ghani-25/SummFinFR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Ghani-25/SummFinFR")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Ghani-25/SummFinFR") model = AutoModelForMaskedLM.from_pretrained("Ghani-25/SummFinFR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ghani-25/SummFinFR: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/Ghani-25/SummFinFR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ghani-25/SummFinFR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ghani-25/SummFinFR/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 32e049cf6a072d90d707ded59dac9be18c03e5087fa19568d98b8c71bdf2ae12
- Size of remote file:
- 443 MB
- SHA256:
- 9eb749d24c82c6a4b4f4e11def2414d0be6eada749dedf06ab4022ae53cd6f7c
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