Instructions to use AT/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AT/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AT/distilroberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AT/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("AT/distilroberta-base-finetuned-wikitext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 132a96d82ed0dec7a5c3294c1936bd00dc441fb74274a5d0ad679e460cbb4e4d
- Size of remote file:
- 2.93 kB
- SHA256:
- dca7ee1cbbfa9d07e80b3c780e73dc2af6d96b9c45a2add7dfac7a94e5da1511
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