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/rng_state.pth from Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/Paladiso/55a420cf-1d6a-45a7-aec0-e2146ff1e80a/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 076817b16b81b67dbdef38c970b89978efc963fa8150ea922ad7348d734a12d8
- Size of remote file:
- 14.2 kB
- SHA256:
- e97ead28242dd097af80112cb3bd8d751944021cbf255fca1535e0f2a22344d9
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