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:
- 6ac71bf91452c9bfa06c7f8923e11275af491aca56c132c6ad3c3cfb2baaed1d
- Size of remote file:
- 4.09 kB
- SHA256:
- cb593eff79eb8b030f1ca704ef5454d10e923dfa13dd87fc9f5f719c09a971e5
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