Instructions to use Saurabh4509/cmodel_10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saurabh4509/cmodel_10k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Saurabh4509/cmodel_10k") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Saurabh4509/cmodel_10k: direct link, hf CLI and curl.
- Browser
- Download file 4.81 GB
-
https://huggingface.co/Saurabh4509/cmodel_10k/resolve/main/optimizer.pt
- Command line
-
hf download hf://Saurabh4509/cmodel_10k/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Saurabh4509/cmodel_10k/resolve/main/optimizer.pt
4.81 GB
- Xet hash:
- 8da5bf74b9ac4467b079535442e358f44a4382a3ae4767d69ec5e14d1542f40e
- Size of remote file:
- 4.81 GB
- SHA256:
- 0bc46f0c8f3dc247520dc56c4693db2af75d81c1fa2cc764adb164b9447c0794
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