Instructions to use hzbin/finbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use hzbin/finbert with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:hzbin/finbert') tokenizer = open_clip.get_tokenizer('hf-hub:hzbin/finbert') - Notebooks
- Google Colab
- Kaggle
Download bert_model.ckpt.meta from hzbin/finbert: direct link, hf CLI and curl.
- Browser
- Download file 5.15 MB
-
https://huggingface.co/hzbin/finbert/resolve/main/bert_model.ckpt.meta
- Command line
-
hf download hf://hzbin/finbert/bert_model.ckpt.meta
-
curl -L -o bert_model.ckpt.meta https://huggingface.co/hzbin/finbert/resolve/main/bert_model.ckpt.meta
5.15 MB
- Xet hash:
- c142fd68184d5cdc6b1d63b4aab83242d7f7d96a7fa061a8beda292d472a2558
- Size of remote file:
- 5.15 MB
- SHA256:
- c904df705876c710d19a00f1983b8ee2b1bf58eee0eaaa48a803ef606a9584db
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