Instructions to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21/resolve/1e89f1833c8ba41c9f0201c5f50ab5cf2ca91860/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21@1e89f1833c8ba41c9f0201c5f50ab5cf2ca91860/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21/resolve/1e89f1833c8ba41c9f0201c5f50ab5cf2ca91860/last-checkpoint/optimizer.pt
501 MB
- Xet hash:
- 1972f68d9f5ee75845de16b47a6d93ca8879ab05588128e6836a8efd46301590
- Size of remote file:
- 501 MB
- SHA256:
- c868badaae7a9c159e414415a8db956178586ef11a34074f4ae1cb75a6cde069
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