Instructions to use WikiQuality/pre_filtered.wo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.wo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.wo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.wo") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.wo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a56c3f701d19b627c7173c3155e40f3c8e2fcb5d3e32d3f59ae881f536b3c216
- Size of remote file:
- 271 kB
- SHA256:
- 878cb6f97f37fc3c2a24d1e17e07fa233b8b8b085cd85e5bf999b23f0567efb2
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