Instructions to use WikiQuality/pre_filtered.ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.ln with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.ln")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.ln") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.ln", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83d6c1b83e9c184dc48d8c81a235e0a02c2ad4d724fbc3d16a85d683e79f7b51
- Size of remote file:
- 261 kB
- SHA256:
- 6c0fc51c0ad6ca0090025157807fef40ab2740ca79ca0fef7af19d5c45dee273
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