Instructions to use WikiQuality/pre_filtered.tn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.tn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.tn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.tn") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.tn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0fec4d2919726b7f6b4fd5e6d31296266dc9ab2b649bd778225a615dcaf7403
- Size of remote file:
- 272 kB
- SHA256:
- afa8bacabf1b68046c031dfbb3029f1d476f1ec897be858e87eaaa0547306f01
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