Instructions to use Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7 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, "Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7: direct link, hf CLI and curl.
- Browser
- Download file 21.5 MB
-
https://huggingface.co/Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/resolve/main/last-checkpoint/optimizer.pt
21.5 MB
- Xet hash:
- 78528b49a57bc759499ead3bf7a1238e2091b5d83344c90a68d12558c26d564d
- Size of remote file:
- 21.5 MB
- SHA256:
- 4d8ea7c0312848c657044c55c31844b5528de6e0a72277c12ce472bbb6d79b7f
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