Instructions to use kokovova/c6b43e65-cebe-4175-8430-8070563f6726 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/c6b43e65-cebe-4175-8430-8070563f6726 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, "kokovova/c6b43e65-cebe-4175-8430-8070563f6726") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from kokovova/c6b43e65-cebe-4175-8430-8070563f6726: direct link, hf CLI and curl.
- Browser
- Download file 1 GB
-
https://huggingface.co/kokovova/c6b43e65-cebe-4175-8430-8070563f6726/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://kokovova/c6b43e65-cebe-4175-8430-8070563f6726/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kokovova/c6b43e65-cebe-4175-8430-8070563f6726/resolve/main/last-checkpoint/optimizer.pt
1 GB
- Xet hash:
- f0aec7f664801463cf72637d2915feb1365c37e2a75e494c45a2241390dfcd4b
- Size of remote file:
- 1 GB
- SHA256:
- e52d4b4cb09e8a3895c7d13681f8d6dd1bdc31505efe29df91923d92e428a3dd
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