Instructions to use Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/resolve/main/last-checkpoint/training_args.bin
6.9 kB
- Xet hash:
- ad68cda2e4c0a1572fea1651818f32c89f80c2618b88895835fe3a39b98d6da1
- Size of remote file:
- 6.9 kB
- SHA256:
- bd2a73f55c9d015128a374dfc6428a3daecbb9a0833e24964b5f355c29fa7ea0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.