Instructions to use ZiweiChen/FinBERT-FOMC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZiweiChen/FinBERT-FOMC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZiweiChen/FinBERT-FOMC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZiweiChen/FinBERT-FOMC") model = AutoModelForSequenceClassification.from_pretrained("ZiweiChen/FinBERT-FOMC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2467438fbff380a8f2bde4391794814dc864826f487903ea1ad362559a355984
- Size of remote file:
- 3.58 kB
- SHA256:
- b539ccc84cfbb833b9cde410102a953cd12685d4f312a08bdc7d01eabaa4ba23
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