Instructions to use TFLai/GPT-Lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TFLai/GPT-Lite with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2-xl") model = PeftModel.from_pretrained(base_model, "TFLai/GPT-Lite") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from TFLai/GPT-Lite: direct link, hf CLI and curl.
- Browser
- Download file 157 MB
-
https://huggingface.co/TFLai/GPT-Lite/resolve/main/adapter_model.bin
- Command line
-
hf download hf://TFLai/GPT-Lite/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/TFLai/GPT-Lite/resolve/main/adapter_model.bin
157 MB
- Xet hash:
- 58c23ac82684916b9c11f7122cb432f2c06513218580fe11d474e8b379ecb454
- Size of remote file:
- 157 MB
- SHA256:
- d9a5792d8665694d51dc45ff17058105058ef38afbcb302a2a36770d1b7df5f9
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