Instructions to use achen0525/DistilBERT_FOMC_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use achen0525/DistilBERT_FOMC_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="achen0525/DistilBERT_FOMC_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("achen0525/DistilBERT_FOMC_Classifier") model = AutoModelForSequenceClassification.from_pretrained("achen0525/DistilBERT_FOMC_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 149fb1572b3d8dc2fd666f1a6816a7f978a7c4595c0954a7e1016b015c44ad3e
- Size of remote file:
- 268 MB
- SHA256:
- 02a94f213a5fd9f6401ee403afdaf382374a5b20753c84c62c1224ea4a79075a
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