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 tokenizer_78b3253a26.model from simonmun/Ey_SentenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 371 kB
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https://huggingface.co/simonmun/Ey_SentenceClassification/resolve/main/tokenizer_78b3253a26.model
- Command line
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hf download hf://simonmun/Ey_SentenceClassification/tokenizer_78b3253a26.model
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curl -L -o tokenizer_78b3253a26.model https://huggingface.co/simonmun/Ey_SentenceClassification/resolve/main/tokenizer_78b3253a26.model
371 kB
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