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-534/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-534/optimizer.pt
- Command line
-
hf download hf://CognitiveLab/Ambari-One-Thrid-PEFT_final/checkpoint-534/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CognitiveLab/Ambari-One-Thrid-PEFT_final/resolve/main/checkpoint-534/optimizer.pt
1.28 GB
- Xet hash:
- 32de029947f7b82500d70e74f5ba1a3e069b94a9bb2e46161b2635955a3bcedf
- Size of remote file:
- 1.28 GB
- SHA256:
- 34bf0232283b939f747bc4567d1dd0c6aa4be2e7dcc8af0ffcd9772e621bbb2c
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