Instructions to use Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("numind/NuExtract-v1.5") model = PeftModel.from_pretrained(base_model, "Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 6413d74fedc63480d649f0643baa9fbc6ffa4a0c894193f592db056ff71b1639
- Size of remote file:
- 14.2 kB
- SHA256:
- 2f7d3a5d78aa50dcd43e74212c191d808c5bcd164052f22ba1157b6a56fcb634
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