Instructions to use jieyi/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jieyi/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jieyi/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jieyi/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("jieyi/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60ffe1e19bbb93fbd2e9a00ef9b7fc0128a8ef54dfe4a2e0efdb95e3e13c5a34
- Size of remote file:
- 433 MB
- SHA256:
- 08a18e12245f796adfe1e84942f68f84b9535bd6851224ffe12461ebb985d20c
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