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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonmun/Ey_SentenceClassification") model = AutoModelForSequenceClassification.from_pretrained("simonmun/Ey_SentenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simonmun/Ey_SentenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 369 MB
-
https://huggingface.co/simonmun/Ey_SentenceClassification/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://simonmun/Ey_SentenceClassification@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simonmun/Ey_SentenceClassification/resolve/refs%2Fpr%2F1/pytorch_model.bin
369 MB
- Xet hash:
- 94c8c46ba5e926e40169eef1b95602de261acaa8df9586bda7f49bcf6382c712
- Size of remote file:
- 369 MB
- SHA256:
- 06cab24fc4cdb7db0a59753ed979317c8e8b258fbacd3be538ab7a0535b31504
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