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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92708b6dd0cb2201c51c46dc23638465ad02b472487f51b4677fecb1adeec8d4
- Size of remote file:
- 428 MB
- SHA256:
- 2c1a89d5eafcf18110941ac023ea28161dca24e6ec8549b652b4149a204b9d24
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