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:
- 13e5c885eb7d7033765e3f1d63c96a154100f3179431e43044c8359d1748da39
- Size of remote file:
- 369 MB
- SHA256:
- f2d18d1fe105b98ceea2b812d616609c1e27ba19fd149a80c12fc0815ea27338
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