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/rng_state.pth from Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- eb1fcff2290a3552706b920034d8c4fa8bc54b891126aafb0d799fdb78718264
- Size of remote file:
- 14.2 kB
- SHA256:
- caf3eb08ae5968d9fdd01662549d5ff3f77b32f7223ed6c8182314d57abb754d
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