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:
- c7bfaedd517eafb037d42dd6069b253a860cc0c27e417fa3959bba6ab31e72ba
- Size of remote file:
- 395 kB
- SHA256:
- d627b8adb36e18ad05076930caa8ebcf7ec129f8da29311e87e164a014380d85
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