Instructions to use CognitiveLab/Ambari-One-Thrid-PEFT_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CognitiveLab/Ambari-One-Thrid-PEFT_final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "CognitiveLab/Ambari-One-Thrid-PEFT_final") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-623/optimizer.pt from CognitiveLab/Ambari-One-Thrid-PEFT_final: direct link, hf CLI and curl.
- Browser
- Download file 1.28 GB
-
https://huggingface.co/CognitiveLab/Ambari-One-Thrid-PEFT_final/resolve/main/checkpoint-623/optimizer.pt
- Command line
-
hf download hf://CognitiveLab/Ambari-One-Thrid-PEFT_final/checkpoint-623/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CognitiveLab/Ambari-One-Thrid-PEFT_final/resolve/main/checkpoint-623/optimizer.pt
1.28 GB
- Xet hash:
- 62cf3f25be763a2e34bec7ad84f54702ff57736f6d78e205a9f1866ede84e7a7
- Size of remote file:
- 1.28 GB
- SHA256:
- e73db1184b0c4113bd8f959b0c8f5a854682219d19a27e5e6c71463b4288abc3
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