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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from cinmodel/electra-small-japanese-generator: direct link, hf CLI and curl.
- Browser
- Download file 154 Bytes
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https://huggingface.co/cinmodel/electra-small-japanese-generator/resolve/main/tokenizer_config.json
- Command line
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hf download hf://cinmodel/electra-small-japanese-generator/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/cinmodel/electra-small-japanese-generator/resolve/main/tokenizer_config.json
154 Bytes
| {"do_lower_case": false, "word_tokenizer_type": "mecab", "subword_tokenizer_type": "wordpiece", "tokenize_chinese_chars": false, "model_max_length": 512} | |