Instructions to use yosshstd/Transporter-GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yosshstd/Transporter-GPT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GreatCaptainNemo/ProLLaMA_Stage_1") model = PeftModel.from_pretrained(base_model, "yosshstd/Transporter-GPT") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yosshstd/Transporter-GPT: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/yosshstd/Transporter-GPT/resolve/main/training_args.bin
- Command line
-
hf download hf://yosshstd/Transporter-GPT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yosshstd/Transporter-GPT/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 6d0e6da867199f8bf332e2f66047f3088d1249041f93bff634e40e605ce7a18d
- Size of remote file:
- 5.56 kB
- SHA256:
- f163cb74bb17bc89cda16d65ed1f32ddd5b5f6508d73da5bbb48f5e126ece5d8
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