Instructions to use ToastyPigeon/command-r-32b-Adventure-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/command-r-32b-Adventure-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("SillyTilly/c4ai-command-r-08-2024") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/command-r-32b-Adventure-LoRA") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ToastyPigeon/command-r-32b-Adventure-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/ToastyPigeon/command-r-32b-Adventure-LoRA/resolve/main/tokenizer.json
- Command line
-
hf download hf://ToastyPigeon/command-r-32b-Adventure-LoRA/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ToastyPigeon/command-r-32b-Adventure-LoRA/resolve/main/tokenizer.json
12.8 MB
- Xet hash:
- d0d50153dda67d4ae0ce04c351807e563dcaa811ec551b016e418f3c0c9bfb11
- Size of remote file:
- 12.8 MB
- SHA256:
- f7e773a231706a3ee5d05050ff27aa122a19df09ee7dd59eafa906b7487035b9
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