Instructions to use aitestcoder/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitestcoder/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aitestcoder/distilroberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aitestcoder/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("aitestcoder/distilroberta-base-finetuned-wikitext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89e7b44febe622ddce1510949c49ebf83d65fc380aa3cd54bc18caadb5d33f65
- Size of remote file:
- 329 MB
- SHA256:
- e46d3edce8745b62cfa24f30deaaefc273038f6ca3ac5f678b30013d3824cc4f
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