Instructions to use HSURA/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HSURA/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HSURA/distilroberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HSURA/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("HSURA/distilroberta-base-finetuned-wikitext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53a312dde4cdb0352ba5fc8d713d7456596b87ca6cefb9c0a8fa1dcf57347eaf
- Size of remote file:
- 329 MB
- SHA256:
- 9981c52977ad03d8ae171341b2e5d02b94ab14e8cb273c6ee9c0332fc3602cdb
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