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:
- 21a409e6847774b3e017b6fdcab07067ba30075a0498bc706f02de8e862ebbb8
- Size of remote file:
- 369 MB
- SHA256:
- 6cff475dc0c2cd451d47334869a0846a9c6ebdaea530de2ef5ec10a808a80af4
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