Instructions to use Paladiso/8e6f4d68-0920-4b5c-8036-5bc83b2e08d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/8e6f4d68-0920-4b5c-8036-5bc83b2e08d4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "Paladiso/8e6f4d68-0920-4b5c-8036-5bc83b2e08d4") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from Paladiso/8e6f4d68-0920-4b5c-8036-5bc83b2e08d4: direct link, hf CLI and curl.
- Browser
- Download file 41.1 MB
-
https://huggingface.co/Paladiso/8e6f4d68-0920-4b5c-8036-5bc83b2e08d4/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Paladiso/8e6f4d68-0920-4b5c-8036-5bc83b2e08d4/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Paladiso/8e6f4d68-0920-4b5c-8036-5bc83b2e08d4/resolve/main/last-checkpoint/optimizer.pt
41.1 MB
- Xet hash:
- 0343eb95526b2573308383e1b98647d709c7464353552efbe34307cce033341e
- Size of remote file:
- 41.1 MB
- SHA256:
- 7cf2feb6b49da27b8ac74c9414404f4ff1daf362c1f8552dac68492a10826783
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