Instructions to use jerraxixo/bert-base-colbert-loss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jerraxixo/bert-base-colbert-loss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jerraxixo/bert-base-colbert-loss")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jerraxixo/bert-base-colbert-loss") model = AutoModel.from_pretrained("jerraxixo/bert-base-colbert-loss", 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 sha256:4d7d51e5d1fc4ffb58d77ad19c7224b0afcb151db265286fba3ba56ac0e71e62
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size 437951328
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