Instructions to use ekazakos/grove with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekazakos/grove with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ekazakos/grove", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ekazakos/grove: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/ekazakos/grove/resolve/main/tokenizer.json
- Command line
-
hf download hf://ekazakos/grove/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ekazakos/grove/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.