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:
- 14127709e4d30ebf46c20a8302b905cd5a740833c2935b56fdf775cf4bd7513b
- Size of remote file:
- 4.54 kB
- SHA256:
- 79c068f4c03c96b5c8810632ca11b7e4571ecb490b99f9817635d1e4338227b9
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