Instructions to use cenfis/AlpaGo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cenfis/AlpaGo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-neox-20b") model = PeftModel.from_pretrained(base_model, "cenfis/AlpaGo") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from cenfis/AlpaGo: direct link, hf CLI and curl.
- Browser
- Download file 34.6 MB
-
https://huggingface.co/cenfis/AlpaGo/resolve/main/adapter_model.bin
- Command line
-
hf download hf://cenfis/AlpaGo/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/cenfis/AlpaGo/resolve/main/adapter_model.bin
34.6 MB
- Xet hash:
- 11a38e4d7078cb1b2beab1559a0b542b6424e7f787063aa6d8fc83ef6eb8f135
- Size of remote file:
- 34.6 MB
- SHA256:
- 1fdf4593415b7a44d214c8a2daeb0656db02749ef559cc20f0ea3f7517b1111c
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