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 training_args.bin from Ghani-25/SummFinFR: direct link, hf CLI and curl.
- Browser
- Download file 2.48 kB
-
https://huggingface.co/Ghani-25/SummFinFR/resolve/main/training_args.bin
- Command line
-
hf download hf://Ghani-25/SummFinFR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ghani-25/SummFinFR/resolve/main/training_args.bin
2.48 kB
- Xet hash:
- 5fd532068a06576c44312dc289db96d5ac2b15bbe5dca0242b03c1c04ccec091
- Size of remote file:
- 2.48 kB
- SHA256:
- 8ebd53f8186c1f267fa37dd2e1f0a9ab71e317d03677e7b31ae858dd37a63c8b
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