Instructions to use sinequa/vectorizer.raspberry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinequa/vectorizer.raspberry with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sinequa/vectorizer.raspberry") model = AutoModelForMaskedLM.from_pretrained("sinequa/vectorizer.raspberry") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd721b3597509fa5226c2f5a98055e87a6b88717c6b50e0df5289f5c83f66ea7
- Size of remote file:
- 17.1 MB
- SHA256:
- f4011b5810b74e5b6348c7d6458b9dda20b5af6b759dc999f113c31888c6b6eb
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