Instructions to use TitanMLData/finBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TitanMLData/finBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TitanMLData/finBert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TitanMLData/finBert") model = AutoModel.from_pretrained("TitanMLData/finBert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9a93ffa4522b15344aaf4d1c180ac0acdf3d1170e89c3a80f081c3405047d99
- Size of remote file:
- 438 MB
- SHA256:
- b7053d1415f805344a7b3c776dcb51e0dc2d417256cb446f492cc60f0b5b3800
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