Instructions to use llm-jp/Llama-Mimi-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llm-jp/Llama-Mimi-8B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("llm-jp/Llama-Mimi-8B") model = AutoModelForCausalLM.from_pretrained("llm-jp/Llama-Mimi-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from llm-jp/Llama-Mimi-8B: direct link, hf CLI and curl.
- Browser
- Download file 1.49 MB
-
https://huggingface.co/llm-jp/Llama-Mimi-8B/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://llm-jp/Llama-Mimi-8B/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/llm-jp/Llama-Mimi-8B/resolve/main/tokenizer_config.json
1.49 MB
File too large to display, you can check the raw version instead.