Instructions to use DeepLearning101/Corrector101zhTW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepLearning101/Corrector101zhTW with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DeepLearning101/Corrector101zhTW")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DeepLearning101/Corrector101zhTW") model = AutoModelForMaskedLM.from_pretrained("DeepLearning101/Corrector101zhTW") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0eeec46316d73fde4b769489f1610288316f92daf15e589b1c93dc84d51f4a7
- Size of remote file:
- 409 MB
- SHA256:
- 69b6b856ce2d32a3286f82e2fe0ecc6a4f326a4863bd291b12e707cb7d7a41c9
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