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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bee7dbf64771f8fdc1ffea9af452f4835da5568dc4364f091e5fba314679095
- Size of remote file:
- 438 MB
- SHA256:
- e8351202282b15b4cdb13c1e4373f8064b99bbcbf7b8b18dc3068d00e0304a6c
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