Instructions to use shomez/blink-biencoder-mention-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shomez/blink-biencoder-mention-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shomez/blink-biencoder-mention-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("shomez/blink-biencoder-mention-encoder") model = AutoModel.from_pretrained("shomez/blink-biencoder-mention-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from shomez/blink-biencoder-mention-encoder: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/shomez/blink-biencoder-mention-encoder/resolve/main/tokenizer.json
- Command line
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hf download hf://shomez/blink-biencoder-mention-encoder/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/shomez/blink-biencoder-mention-encoder/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.