Instructions to use baartmar/DeepNSM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baartmar/DeepNSM-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "baartmar/DeepNSM-8B") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from baartmar/DeepNSM-8B: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/baartmar/DeepNSM-8B/resolve/main/optimizer.pt
- Command line
-
hf download hf://baartmar/DeepNSM-8B/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/baartmar/DeepNSM-8B/resolve/main/optimizer.pt
1.34 GB
- Xet hash:
- 7e84156e5a35dce3a62cb51f680e8a3e6b8715a0e79b5483f588913d61099bac
- Size of remote file:
- 1.34 GB
- SHA256:
- c3fa76e75a8f7d57442d5651fd7d42de1500887ab0b980f1dc2db2342ed196ec
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