Instructions to use andrk9/testingPyScript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andrk9/testingPyScript with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-hf") model = PeftModel.from_pretrained(base_model, "andrk9/testingPyScript") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-70/adapter_model.safetensors from andrk9/testingPyScript: direct link, hf CLI and curl.
- Browser
- Download file 65.6 MB
-
https://huggingface.co/andrk9/testingPyScript/resolve/main/checkpoint-70/adapter_model.safetensors
- Command line
-
hf download hf://andrk9/testingPyScript/checkpoint-70/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/andrk9/testingPyScript/resolve/main/checkpoint-70/adapter_model.safetensors
65.6 MB
- Xet hash:
- 0519f10adbdac733d8fe4571b81be94098b2bfb4389183f904c015ca0bcebae8
- Size of remote file:
- 65.6 MB
- SHA256:
- 151c72fda5d538af519864c3bc1a2b3cd0d654e54208865ae1c7ae608be4af9a
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