Instructions to use adrake17/Meta-Llama-3-8B-Instruct-Amazon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adrake17/Meta-Llama-3-8B-Instruct-Amazon 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, "adrake17/Meta-Llama-3-8B-Instruct-Amazon") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adrake17/Meta-Llama-3-8B-Instruct-Amazon: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/adrake17/Meta-Llama-3-8B-Instruct-Amazon/resolve/main/training_args.bin
- Command line
-
hf download hf://adrake17/Meta-Llama-3-8B-Instruct-Amazon/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adrake17/Meta-Llama-3-8B-Instruct-Amazon/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- c1026a1105e7fe93386371da769d1530c7bd7bf18c72f2bba5642c3a339f0f59
- Size of remote file:
- 4.98 kB
- SHA256:
- bc210dbd7bad17a33fe90b0a3e26abf2b8c7ca3535b25bb6215f5bf3d4545cd4
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