Instructions to use WikiQuality/pre_filtered.so with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.so with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.so")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.so") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.so", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0957e2c46bdf67df111af61f426966228ac6158ae7901ded0c261e606f06a1e1
- Size of remote file:
- 319 kB
- SHA256:
- 153e6002a3963a64dd144e428cb3b6693b72ea0e6068364e48c56feec928a153
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