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
Download tokenizer.model from prane-eth/SafeLLM-G-Pro: direct link, hf CLI and curl.
- Browser
- Download file 4.69 MB
-
https://huggingface.co/prane-eth/SafeLLM-G-Pro/resolve/main/tokenizer.model
- Command line
-
hf download hf://prane-eth/SafeLLM-G-Pro/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/prane-eth/SafeLLM-G-Pro/resolve/main/tokenizer.model
4.69 MB
- Xet hash:
- f6aa6b6d77b66c0b5905517df9e5261c32195192839dd05e71e37d6b89933074
- Size of remote file:
- 4.69 MB
- SHA256:
- 1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
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