Instructions to use jcblaise/electra-tagalog-small-cased-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcblaise/electra-tagalog-small-cased-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jcblaise/electra-tagalog-small-cased-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jcblaise/electra-tagalog-small-cased-generator") model = AutoModelForMaskedLM.from_pretrained("jcblaise/electra-tagalog-small-cased-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jan Christian Blaise Cruz commited on
Commit ·
9275f8c
1
Parent(s): f8c1db7
Update tokenizer_config.json
Browse files- tokenizer_config.json +2 -1
tokenizer_config.json
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{
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"do_lower_case": false
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}
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{
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"do_lower_case": false,
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"model_max_length": 512
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}
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