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
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Download README.md from hzbin/finbert: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
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https://huggingface.co/hzbin/finbert/resolve/main/README.md
- Command line
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hf download hf://hzbin/finbert/README.md
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curl -L -o README.md https://huggingface.co/hzbin/finbert/resolve/main/README.md
164 Bytes
| license: apache-2.0 | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| language: | |
| - ar | |
| metrics: | |
| - bleurt | |
| library_name: open_clip | |
| pipeline_tag: fill-mask | |
| tags: | |
| - finance | |