Instructions to use simonmun/Ey_SentenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/Ey_SentenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonmun/Ey_SentenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonmun/Ey_SentenceClassification") model = AutoModelForSequenceClassification.from_pretrained("simonmun/Ey_SentenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94c8c46ba5e926e40169eef1b95602de261acaa8df9586bda7f49bcf6382c712
- Size of remote file:
- 369 MB
- SHA256:
- 06cab24fc4cdb7db0a59753ed979317c8e8b258fbacd3be538ab7a0535b31504
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