Instructions to use DeepaPeri/checkpoint-141 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepaPeri/checkpoint-141 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "DeepaPeri/checkpoint-141") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DeepaPeri/checkpoint-141: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/DeepaPeri/checkpoint-141/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepaPeri/checkpoint-141/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepaPeri/checkpoint-141/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- ea80bf6cd776a64a8298fa36427071c74d9690691d3267730e18fe6e34fa299a
- Size of remote file:
- 3.96 kB
- SHA256:
- d3299723c2afe37fbba588765ce71e8c175ff3b334d3b4d528e5102ac8a45f5d
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