Instructions to use vijayk2000/finance_fine_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vijayk2000/finance_fine_tuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vijayk2000/finance_fine_tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vijayk2000/finance_fine_tuning: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/vijayk2000/finance_fine_tuning/resolve/main/tokenizer.json
- Command line
-
hf download hf://vijayk2000/finance_fine_tuning/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vijayk2000/finance_fine_tuning/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 56d25393e01795c7d4a9f6d064097ef768fad7c1d72dd8f0273a4f2a2c402e0c
- Size of remote file:
- 34.4 MB
- SHA256:
- 50cfa7ec9e90b81334882179c512cba82aa088c938188f9bbfaf51595a2e71a1
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