Instructions to use allenai/aspire-biencoder-compsci-spec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/aspire-biencoder-compsci-spec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="allenai/aspire-biencoder-compsci-spec")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allenai/aspire-biencoder-compsci-spec") model = AutoModel.from_pretrained("allenai/aspire-biencoder-compsci-spec") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
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- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:eae9bcd9dca374e2fe4f5f63175da98a57a93e247efe072db2df0380df4940c5
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size 439780280
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