Instructions to use LiYuan/Amazon-Cross-Encoder-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiYuan/Amazon-Cross-Encoder-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LiYuan/Amazon-Cross-Encoder-Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LiYuan/Amazon-Cross-Encoder-Classification") model = AutoModelForSequenceClassification.from_pretrained("LiYuan/Amazon-Cross-Encoder-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LiYuan/Amazon-Cross-Encoder-Classification: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/LiYuan/Amazon-Cross-Encoder-Classification/resolve/e7706e84fe6bdd8e26f53be2d705c84facfbb1ed/pytorch_model.bin
- Command line
-
hf download hf://LiYuan/Amazon-Cross-Encoder-Classification@e7706e84fe6bdd8e26f53be2d705c84facfbb1ed/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LiYuan/Amazon-Cross-Encoder-Classification/resolve/e7706e84fe6bdd8e26f53be2d705c84facfbb1ed/pytorch_model.bin
438 MB
- Xet hash:
- 593db6368f52049aad977072ed2999310e01dda5c34a1cc74f4a893cea0c5b99
- Size of remote file:
- 438 MB
- SHA256:
- 3e149b10d3f2dce8fb0969903497c00dea3ce3f1b4628459937dce7cea237c0b
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