Instructions to use liuyanchen1015/wikitext103_roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liuyanchen1015/wikitext103_roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="liuyanchen1015/wikitext103_roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("liuyanchen1015/wikitext103_roberta-base") model = AutoModelForMaskedLM.from_pretrained("liuyanchen1015/wikitext103_roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 980de6f806b3a0d142f0d0734459c1f8af4b6696ab13d50ea4a80583993b5a58
- Size of remote file:
- 499 MB
- SHA256:
- 8eb2f54b9fece3f22988066e42d159dce88f88bb625b4b557c819e27016bfed0
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