Instructions to use fanwu103/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fanwu103/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fanwu103/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fanwu103/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("fanwu103/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 957615b7ee526c8d3f627393acc86660fcf0713e7c61082082a1659c343fb7b9
- Size of remote file:
- 5.84 kB
- SHA256:
- d3e348bc19e8aee66890765efffdbc397c5d93182aba8bba646a9bc5263398eb
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