Instructions to use cinmodel/electra-small-japanese-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cinmodel/electra-small-japanese-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cinmodel/electra-small-japanese-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cinmodel/electra-small-japanese-generator") model = AutoModelForMaskedLM.from_pretrained("cinmodel/electra-small-japanese-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 632de0af1aa9a7b520c2901954d990864b7b94838a9ec08d845f5a608821420d
- Size of remote file:
- 55 MB
- SHA256:
- 72ca4f44bc82639843930ec6622f8a2aa769a0027b70a94389ab772cfa2634a6
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