Instructions to use sabdou/cross-encoder-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabdou/cross-encoder-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sabdou/cross-encoder-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sabdou/cross-encoder-model") model = AutoModel.from_pretrained("sabdou/cross-encoder-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97411ecc4ad1f9a871e5c9ebee4ee1e425c7ae115488bb7b1fd7685c14022b11
- Size of remote file:
- 438 MB
- SHA256:
- 8e47716a979def3ee4331621abb95a2a07619cf6428ca798c051201cbbc0ff89
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