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
Upload training_args.bin with git-lfs
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ebd53f8186c1f267fa37dd2e1f0a9ab71e317d03677e7b31ae858dd37a63c8b
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size 2479
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