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-120/adapter_model.safetensors from andrk9/testingPyScript: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/andrk9/testingPyScript/resolve/main/checkpoint-120/adapter_model.safetensors
- Command line
-
hf download hf://andrk9/testingPyScript/checkpoint-120/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/andrk9/testingPyScript/resolve/main/checkpoint-120/adapter_model.safetensors
16.8 MB
- Xet hash:
- 2770975076b7c7d3c565976a18201fd47b45d534e8f81ff38ee5721ecf74127a
- Size of remote file:
- 16.8 MB
- SHA256:
- 62efd5c2cab302e216422bdba2e55c8799578254d233788eab87a5ab9d4e7aa6
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