Instructions to use zachzhang5/cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zachzhang5/cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zachzhang5/cross-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zachzhang5/cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("zachzhang5/cross-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b8d7edea3785be54809b908a2ca54bca1d30f0eb45c2ede9324eda9358e52b9
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size 90870604
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