Instructions to use antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d: direct link, hf CLI and curl.
- Browser
- Download file 332 MB
-
https://huggingface.co/antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/resolve/main/last-checkpoint/adapter_model.safetensors
332 MB
- Xet hash:
- 21e02337e54fc1feb79da895e27fe8267ae86a58628c63c98c43cd437152cb2a
- Size of remote file:
- 332 MB
- SHA256:
- b0277efa8eec7a5cfbe8fb0c59ae063758794d5498d27e3a9ef48ae9b29f5f8e
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