Instructions to use MichaelR207/personalized-llama-michael with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MichaelR207/personalized-llama-michael with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "MichaelR207/personalized-llama-michael") - Notebooks
- Google Colab
- Kaggle
Download sample_data/mnist_test.csv from MichaelR207/personalized-llama-michael: direct link, hf CLI and curl.
- Browser
- Download file 18.3 MB
-
https://huggingface.co/MichaelR207/personalized-llama-michael/resolve/main/sample_data/mnist_test.csv
- Command line
-
hf download hf://MichaelR207/personalized-llama-michael/sample_data/mnist_test.csv
-
curl -L -o mnist_test.csv https://huggingface.co/MichaelR207/personalized-llama-michael/resolve/main/sample_data/mnist_test.csv
18.3 MB
- Xet hash:
- 4c3587f03c90386f5c109436735436a62788da4696285b74c1bcab09d64d103f
- Size of remote file:
- 18.3 MB
- SHA256:
- 51c292478d94ec3a01461bdfa82eb0885d262eb09e615679b2d69dedb6ad09e7
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