Instructions to use takehika/rinna-neox-small-ja-it-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use takehika/rinna-neox-small-ja-it-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("rinna/japanese-gpt-neox-small") model = PeftModel.from_pretrained(base_model, "takehika/rinna-neox-small-ja-it-adapter") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from takehika/rinna-neox-small-ja-it-adapter: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/takehika/rinna-neox-small-ja-it-adapter/resolve/main/spiece.model
- Command line
-
hf download hf://takehika/rinna-neox-small-ja-it-adapter/spiece.model
-
curl -L -o spiece.model https://huggingface.co/takehika/rinna-neox-small-ja-it-adapter/resolve/main/spiece.model
1.05 MB
- Xet hash:
- b8e912560d6815bb77fe33c43923469425e3b39d95e939a8ec72e86890341daa
- Size of remote file:
- 1.05 MB
- SHA256:
- fa7a52f74800c7382e72a29e11bf95eb53cd9960a5d181bb37cc4482de43ebfb
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