Instructions to use steve1989/finbert-finetuned-SA-finance-headlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steve1989/finbert-finetuned-SA-finance-headlines with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="steve1989/finbert-finetuned-SA-finance-headlines")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("steve1989/finbert-finetuned-SA-finance-headlines") model = AutoModelForSequenceClassification.from_pretrained("steve1989/finbert-finetuned-SA-finance-headlines") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d2420276075149de8258ff0ad018fa637c02a67533071f4fded679fa30a47c5
- Size of remote file:
- 438 MB
- SHA256:
- 98b9f4e0c21a1820b9cd7a05304772d037a6afb4b169928675e48b212a32238b
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