Instructions to use FirstPotatoCoder/Lisa-81 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Lisa-81 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "FirstPotatoCoder/Lisa-81") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from FirstPotatoCoder/Lisa-81: direct link, hf CLI and curl.
- Browser
- Download file 517 MB
-
https://huggingface.co/FirstPotatoCoder/Lisa-81/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://FirstPotatoCoder/Lisa-81/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/FirstPotatoCoder/Lisa-81/resolve/main/adapter_model.safetensors
517 MB
- Xet hash:
- b891072131ba4c478f70e41ed6c953a651efd9cf17ce985d25dc6e479d09491b
- Size of remote file:
- 517 MB
- SHA256:
- a5ac6cdbcbe470015876bca0f9f088b79a7c3127ee4f00d0bab1a31e65c88861
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