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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39072a4eef3593ff29a16c55703433f86e7432055fe3bc120dedd06145f0b8c0
- Size of remote file:
- 3.64 kB
- SHA256:
- 3a6a0210bbc7979445c478a0a1500b4b5e4b4cf93f519eabfa8bfe29a75d5aed
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