Instructions to use Yujivus/pillars-compact-wikitext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yujivus/pillars-compact-wikitext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Yujivus/pillars-compact-wikitext", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yujivus/pillars-compact-wikitext", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75c7a003dd769acadeca7f0023a49f6060ba3e74cd6f39b2f04aa0b6b6dd874b
- Size of remote file:
- 132 MB
- SHA256:
- d83897582997657930e6badd0bcb5b9b14afe0be1cf0a84f4a96b7fe0aa180d1
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