Instructions to use peternscale/wiki-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use peternscale/wiki-data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/runner/model") model = PeftModel.from_pretrained(base_model, "peternscale/wiki-data") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from peternscale/wiki-data: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/peternscale/wiki-data/resolve/main/tokenizer.json
- Command line
-
hf download hf://peternscale/wiki-data/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/peternscale/wiki-data/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- d1764001543899106a3168f0d55a6a527fadce55b617f89242903ae4ace0ef8d
- Size of remote file:
- 17.2 MB
- SHA256:
- 3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
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