Instructions to use fenffef/bert-creat-iflytek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fenffef/bert-creat-iflytek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fenffef/bert-creat-iflytek")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fenffef/bert-creat-iflytek") model = AutoModelForMaskedLM.from_pretrained("fenffef/bert-creat-iflytek") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7db169753c08fcad42ae397d57cdd9ee156c6654392fc6becaa9b400e316739a
- Size of remote file:
- 410 MB
- SHA256:
- a6e42e0a357ad1bdcd783f3f9e3fc98425a9e4d29ab8f9960f4a6066b8f6c904
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