Instructions to use InfiniFlow/bce-embedding-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfiniFlow/bce-embedding-base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InfiniFlow/bce-embedding-base_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("InfiniFlow/bce-embedding-base_v1") model = AutoModel.from_pretrained("InfiniFlow/bce-embedding-base_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from InfiniFlow/bce-embedding-base_v1: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/InfiniFlow/bce-embedding-base_v1/resolve/main/README.md
- Command line
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hf download hf://InfiniFlow/bce-embedding-base_v1/README.md
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curl -L -o README.md https://huggingface.co/InfiniFlow/bce-embedding-base_v1/resolve/main/README.md
28 Bytes
metadata
license: apache-2.0