Instructions to use webis/sparse-cross-encoder-4-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webis/sparse-cross-encoder-4-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="webis/sparse-cross-encoder-4-4096")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("webis/sparse-cross-encoder-4-4096") model = AutoModelForSequenceClassification.from_pretrained("webis/sparse-cross-encoder-4-4096") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (309137179ab23f42ccd4d5f99062621b92621448)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2bcc209fd282623afe16efce3c3921b9bb6ce0a2a322bd1f4cd6ecd6602e385c
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size 96404308
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