Instructions to use DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446 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, "DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_0.pth from DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446/resolve/35744c32b49306800a0a30ca17156151ec3205af/last-checkpoint/rng_state_0.pth
- Command line
-
hf download hf://DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446@35744c32b49306800a0a30ca17156151ec3205af/last-checkpoint/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446/resolve/35744c32b49306800a0a30ca17156151ec3205af/last-checkpoint/rng_state_0.pth
15 kB
- Xet hash:
- 680f1febd5ff40f813843ece1944d2a7213918fbfac27d5a77d8111d80cc6c5e
- Size of remote file:
- 15 kB
- SHA256:
- b4cb2f209dfe8277faa6d3b37211da5afff07cdb0c956f67b0bd700e1ff17539
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.