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") - Notebooks
- Google Colab
- Kaggle
First README.md draft
#1
by youval - opened
First README.md draft for the vectorizer.hazelnut.
I've changed some part of the format comparing to raspberry. I also decided to include all metrics from pirb, and summarize the average in the score section.
looks all good to me!
Seems alm good to me too
loic-dagnas-sinequa changed pull request status to open
👍
youval changed pull request status to merged