Instructions to use cozy-fire/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cozy-fire/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cozy-fire/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cozy-fire/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("cozy-fire/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abf081e869d3c6133caa12838d6827c4886d64687550b5a6e6989e3671ac4197
- Size of remote file:
- 5.78 kB
- SHA256:
- 544c11b5dfa9b8492cfc849f36b79d99f3cf2cb1caccf94d536ea7066c38f835
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