Instructions to use WikiQuality/pre_filtered.ig with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.ig with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.ig")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.ig") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.ig", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e01f3508f367da39c9618ca5a1aa78cc662696b6e3369c59d27d0a2d0932a4b0
- Size of remote file:
- 436 kB
- SHA256:
- 9c68153d08b6b7cfabd756dc86f5aa82947f82dbd6c813717fccd42605789dfa
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