Instructions to use WikiQuality/raw_wiki.so with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/raw_wiki.so with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/raw_wiki.so")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/raw_wiki.so") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/raw_wiki.so") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc4038b216eafeb6c4046218d94978f29979d3a70eb0740be8fb1255004722e1
- Size of remote file:
- 325 kB
- SHA256:
- 6710bbc40c3ca668b54d1d9a3e7ad172833e1b97b79dc5e69f7c92fd3ff1eccd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.