Instructions to use abby101/deberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abby101/deberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abby101/deberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abby101/deberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("abby101/deberta-base-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5f1ec03014a9a8b651c15ed86afd8c8d678a6fdc521459bf1236b0dad62808f
- Size of remote file:
- 4.6 kB
- SHA256:
- a2cee8ffdc7e2417c31792fd20f291dc2e268ab1a2615a21b71d7d4c47410167
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