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
Update README.md
#3
by loic-dagnas-sinequa - opened
I have specified that by Chinese we meant simplified chinese as requested by @ArianeCavet here.
I have also reorder the language by the alphabetical order of the language codes, @ArianeCavet ok for you?
Just note that zs is not recognized by huggingface language tags.
I order edthe languages alphabetically, because a different order looked weird in my opinion. For a user it looks unordered, because it's tough to make the link to the language code. My opinion can be overriden, no worries.
After discussion with Ariane:
- zs is only used at Sinequa, so we will keep teh zh
- the alphabetical order is ok for her
I will open a new PR to specify Chinese (simplified) instead of Chinese only
loic-dagnas-sinequa changed pull request status to closed