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:
- cf9f38ab0a277a1771192641591cdf270203aff1c1441a7caa63540ebf9e5834
- Size of remote file:
- 160 MB
- SHA256:
- ec81727ac8e416e42f13349e7f02f59b25eb46e08e46be176ef861b7a2d36fa7
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