Instructions to use sinequa/vectorizer.hazelnut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinequa/vectorizer.hazelnut with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sinequa/vectorizer.hazelnut") model = AutoModelForMaskedLM.from_pretrained("sinequa/vectorizer.hazelnut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
5fb98c8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6bf0496af06818c85b6d268c84aaec7913eaeb665d71f5451b50c9e9c5758b4a
size 395271
|