Instructions to use Akash7897/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akash7897/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Akash7897/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Akash7897/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("Akash7897/bert-base-cased-wikitext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 319c8f854cec4536b8b07f8c8a6a6de2525012114e7e6a9375b776a7f925e360
- Size of remote file:
- 3.06 kB
- SHA256:
- 69870787ccade827466b2618ced9166c43c41e93111801cac256689427aa9513
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