Instructions to use avinasht/finbert_flang-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avinasht/finbert_flang-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avinasht/finbert_flang-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avinasht/finbert_flang-bert") model = AutoModelForSequenceClassification.from_pretrained("avinasht/finbert_flang-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 237c8bdc8cecddfa36a80bb302596b2c3068edc9837c8109f1803577062d6a62
- Size of remote file:
- 4.66 kB
- SHA256:
- 499f34c91e32ef4489fc6e1801da7ba05dbecc709f74d391a45eb06a3bd9368f
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