Instructions to use FirstPotatoCoder/Lisa-243 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Lisa-243 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-243") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from FirstPotatoCoder/Lisa-243: direct link, hf CLI and curl.
- Browser
- Download file 517 MB
-
https://huggingface.co/FirstPotatoCoder/Lisa-243/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://FirstPotatoCoder/Lisa-243/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/FirstPotatoCoder/Lisa-243/resolve/main/adapter_model.safetensors
517 MB
- Xet hash:
- a10a86165025db74504479adb0b629ffc4663a09c51264b19b5af03e87399da8
- Size of remote file:
- 517 MB
- SHA256:
- 4555ab0968ee0cd0f023af630e226e1a1709bd85087094566ce25ab5b2cfe73e
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