Instructions to use DiegoAI597/rogue_llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DiegoAI597/rogue_llm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GeneZC/MiniChat-1.5-3B") model = PeftModel.from_pretrained(base_model, "DiegoAI597/rogue_llm") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from DiegoAI597/rogue_llm: direct link, hf CLI and curl.
- Browser
- Download file 749 kB
-
https://huggingface.co/DiegoAI597/rogue_llm/resolve/main/tokenizer.model
- Command line
-
hf download hf://DiegoAI597/rogue_llm/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/DiegoAI597/rogue_llm/resolve/main/tokenizer.model
749 kB
- Xet hash:
- 9352e37729a25726d05cb015b5af38db1154793a52b44076b659362b1e9cc21b
- Size of remote file:
- 749 kB
- SHA256:
- ae87c0db2b21b0fa3fdc5e19d1f9cea94efb703cc7c6281d8718a6714b3cc2be
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