Instructions to use kaanino/gpt-mqa-RoPE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaanino/gpt-mqa-RoPE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import GPT model = GPT.from_pretrained("kaanino/gpt-mqa-RoPE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kaanino/gpt-mqa-RoPE: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/kaanino/gpt-mqa-RoPE/resolve/main/tokenizer.json
- Command line
-
hf download hf://kaanino/gpt-mqa-RoPE/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kaanino/gpt-mqa-RoPE/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.