Instructions to use WikiQuality/pre_filtered.ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.ha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.ha")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.ha") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.ha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9664fc9e4365b44b492456a4b8807204c0cf30aee80f53a2fbc27c0355671c25
- Size of remote file:
- 471 kB
- SHA256:
- 83ec8158577f0bbdc3849494d4db78454b607c443486097712b5097d9f465403
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