Instructions to use prane-eth/SafeLLM-G-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prane-eth/SafeLLM-G-Pro with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prane-eth/SafeLLM-G-Pro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from prane-eth/SafeLLM-G-Pro: direct link, hf CLI and curl.
- Browser
- Download file 549 Bytes
-
https://huggingface.co/prane-eth/SafeLLM-G-Pro/resolve/main/README.md
- Command line
-
hf download hf://prane-eth/SafeLLM-G-Pro/README.md
-
curl -L -o README.md https://huggingface.co/prane-eth/SafeLLM-G-Pro/resolve/main/README.md
549 Bytes
metadata
base_model: unsloth/gemma-3-270m-it
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3_text
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: prane-eth
- License: apache-2.0
- Finetuned from model : unsloth/gemma-3-270m-it
This gemma3_text model was trained 2x faster with Unsloth
