Instructions to use abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d: direct link, hf CLI and curl.
- Browser
- Download file 71.9 MB
-
https://huggingface.co/abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d/resolve/2ae0827ee08c15bb8f5e9d12173ff9994765ca2c/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d@2ae0827ee08c15bb8f5e9d12173ff9994765ca2c/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d/resolve/2ae0827ee08c15bb8f5e9d12173ff9994765ca2c/last-checkpoint/optimizer.pt
71.9 MB
- Xet hash:
- faaa8866eb4acb526370dd58fa68ca568ef12f675a77fb1229c0907a26bd444b
- Size of remote file:
- 71.9 MB
- SHA256:
- 22528871ccb57b659905d7837f403d4d08749d2d40adbbbbbb379aa59391f3d5
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