Instructions to use WikiQuality/pre_filtered.bm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.bm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.bm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.bm") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.bm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0adbb4bec7ca41a7c83eb6bf2b9a74ba0171377fae4b5202b2516462d3e57ea
- Size of remote file:
- 248 kB
- SHA256:
- bf71b107dc613b6251429755ef04e0fc37646d216facc9adcd392ded090bd9b1
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