Instructions to use shaoyuyoung/Title-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shaoyuyoung/Title-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shaoyuyoung/Title-Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shaoyuyoung/Title-Classification") model = AutoModelForSequenceClassification.from_pretrained("shaoyuyoung/Title-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shaoyuyoung/Title-Classification: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/shaoyuyoung/Title-Classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shaoyuyoung/Title-Classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shaoyuyoung/Title-Classification/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- 97069b1d52426f0d44d6b6a9a71a3834d51539a234ba0ddcf87e54314bb0d95b
- Size of remote file:
- 501 MB
- SHA256:
- cc541591cb924f2d13fd70df8e015bf08bbde483a70967a03fa473b78a882c25
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