Instructions to use slone/bert-tiny-char-ctc-bak-denoise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slone/bert-tiny-char-ctc-bak-denoise with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="slone/bert-tiny-char-ctc-bak-denoise")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("slone/bert-tiny-char-ctc-bak-denoise") model = AutoModelForMaskedLM.from_pretrained("slone/bert-tiny-char-ctc-bak-denoise") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87308843e2b3607fad5cc5c1ece1835f8d9adeacf208bc6b05199436e27c3cc2
- Size of remote file:
- 11.2 MB
- SHA256:
- 60d954bc47357f89c1ad70b5d7dacda9fd970be4b03901222a1264497a311c2e
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