Instructions to use TinyPixel/Autotrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/Autotrain with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "TinyPixel/Autotrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 486ab4a85c6dcdedff7dfa9ea1e13aae42e42c8db053bc9b8e4ca785680ccf76
- Size of remote file:
- 443 Bytes
- SHA256:
- c152074a486243089e4fc0fdee0a373a30fb0e0a6e40eb5fd0d36fdafc97a155
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