Instructions to use pravsels/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pravsels/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pravsels/distilroberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pravsels/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("pravsels/distilroberta-base-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a9278ff1b1984c01f8a480bedc56c8473c77315e70b9ee4af35c645509768f2
- Size of remote file:
- 4.6 kB
- SHA256:
- a58531c1feceff2bba06f5ce82a4d0aae167a9120b88500bedf0dd700c32e8f8
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