Instructions to use cdp57/MM_gemma4_meaning_31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdp57/MM_gemma4_meaning_31B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cdp57/MM_gemma4_meaning_31B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from cdp57/MM_gemma4_meaning_31B: direct link, hf CLI and curl.
- Browser
- Download file 567 Bytes
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https://huggingface.co/cdp57/MM_gemma4_meaning_31B/resolve/8cec487af9562db8e28f9aabde93a76a5c1ca996/README.md
- Command line
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hf download hf://cdp57/MM_gemma4_meaning_31B@8cec487af9562db8e28f9aabde93a76a5c1ca996/README.md
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curl -L -o README.md https://huggingface.co/cdp57/MM_gemma4_meaning_31B/resolve/8cec487af9562db8e28f9aabde93a76a5c1ca996/README.md
567 Bytes
metadata
base_model: unsloth/gemma-4-31b-it-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma4
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: cdp57
- License: apache-2.0
- Finetuned from model : unsloth/gemma-4-31b-it-unsloth-bnb-4bit
This gemma4 model was trained 2x faster with Unsloth
