Instructions to use YuCollection/gemma-4-31B-it-assistant-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuCollection/gemma-4-31B-it-assistant-bf16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("YuCollection/gemma-4-31B-it-assistant-bf16") model = AutoModelForCausalLM.from_pretrained("YuCollection/gemma-4-31B-it-assistant-bf16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from YuCollection/gemma-4-31B-it-assistant-bf16: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/YuCollection/gemma-4-31B-it-assistant-bf16/resolve/main/tokenizer.json
- Command line
-
hf download hf://YuCollection/gemma-4-31B-it-assistant-bf16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/YuCollection/gemma-4-31B-it-assistant-bf16/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- 864a72dbe9ff99cb862b617e5fd9394a0eb794b06e4e11cbdd8ec3ee7919e503
- Size of remote file:
- 32.2 MB
- SHA256:
- 75a6583c1a418e2bbd79c60d95d28e0f5bf549ad3f2990b5bdb5238c6c2bf70c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.