Instructions to use Querit/Querit-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Querit/Querit-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Querit/Querit-4B") model = AutoModel.from_pretrained("Querit/Querit-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Querit/Querit-4B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Querit/Querit-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://Querit/Querit-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Querit/Querit-4B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 6c9fdc033b5649fad417e3f583cb522feb51385b579d768a3e31844a5504f377
- Size of remote file:
- 11.4 MB
- SHA256:
- 3d5994f990fc4d9d85f0683ce8c79984ef43cf18e4d5047d9ac2ee72210222b9
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