Instructions to use sinequa/vectorizer.vanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinequa/vectorizer.vanilla with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sinequa/vectorizer.vanilla") model = AutoModel.from_pretrained("sinequa/vectorizer.vanilla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sinequa/vectorizer.vanilla: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/sinequa/vectorizer.vanilla/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://sinequa/vectorizer.vanilla@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/sinequa/vectorizer.vanilla/resolve/refs%2Fpr%2F1/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.