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 model.safetensors 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/model.safetensors
- Command line
-
hf download hf://simonmun/Ey_SentenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/simonmun/Ey_SentenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
369 MB
- Xet hash:
- 13e5c885eb7d7033765e3f1d63c96a154100f3179431e43044c8359d1748da39
- Size of remote file:
- 369 MB
- SHA256:
- f2d18d1fe105b98ceea2b812d616609c1e27ba19fd149a80c12fc0815ea27338
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