Instructions to use eeeebbb2/f30106c8-08a4-41b0-a05c-39ceb3d03279 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/f30106c8-08a4-41b0-a05c-39ceb3d03279 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/f30106c8-08a4-41b0-a05c-39ceb3d03279") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from eeeebbb2/f30106c8-08a4-41b0-a05c-39ceb3d03279: direct link, hf CLI and curl.
- Browser
- Download file 78.5 MB
-
https://huggingface.co/eeeebbb2/f30106c8-08a4-41b0-a05c-39ceb3d03279/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://eeeebbb2/f30106c8-08a4-41b0-a05c-39ceb3d03279/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eeeebbb2/f30106c8-08a4-41b0-a05c-39ceb3d03279/resolve/main/last-checkpoint/optimizer.pt
78.5 MB
- Xet hash:
- 8c9d4cd7665ba9fc9bed790e9c01ef4e9d4d3e7f2d4d3a3e721bb6d10e34b1b7
- Size of remote file:
- 78.5 MB
- SHA256:
- bdb06ed587f78d170400d1ac15dc1f82ed6781cf2c2a1b6098efe9e9627e6578
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