Instructions to use abby101/deberta-base-finetuned-wikitext2-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abby101/deberta-base-finetuned-wikitext2-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abby101/deberta-base-finetuned-wikitext2-10")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abby101/deberta-base-finetuned-wikitext2-10") model = AutoModelForMaskedLM.from_pretrained("abby101/deberta-base-finetuned-wikitext2-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67914b6325e4d1f48087ced4148e04a334d053dc93b4bd1a2abe1d871434e1bc
- Size of remote file:
- 4.6 kB
- SHA256:
- 05f1840b524812ec7638ead55a4a8abcfa648f4e3d79c9535c3404403c90e0a9
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