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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README.md
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datasets:
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- fka/awesome-chatgpt-prompts
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language:
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metrics:
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- bleurt
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library_name:
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pipeline_tag: fill-mask
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tags:
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- finance
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datasets:
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- fka/awesome-chatgpt-prompts
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language:
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- ar
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metrics:
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- bleurt
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library_name: open_clip
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pipeline_tag: fill-mask
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tags:
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- finance
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