Instructions to use codejin/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codejin/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="codejin/distilroberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("codejin/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("codejin/distilroberta-base-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccd153575df88ac7c03977846ccc5600d29272dface38d99f9cf9312102b98c7
- Size of remote file:
- 4.6 kB
- SHA256:
- 3244de4d40d62c18df609dd2c95c62c547c60764911f575d3f3a19e8e9965962
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