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:
- 7f1694f17565567e25ee23d255c455cb39ea1d3b0363b6fd5e84fbb9184e4475
- Size of remote file:
- 428 MB
- SHA256:
- 8be0392bc9ffd8e2bbe1c56a9a766280810dba0375669db81c83fa0e91dd8edd
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