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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:32cc1f7f0e74ba82ad59fa8fb343a82602b7771a699ef3d337ab49d9fef9f5e9
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size 11216664
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