Instructions to use jcblaise/electra-tagalog-small-uncased-discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcblaise/electra-tagalog-small-uncased-discriminator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("jcblaise/electra-tagalog-small-uncased-discriminator") model = AutoModelForPreTraining.from_pretrained("jcblaise/electra-tagalog-small-uncased-discriminator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# ELECTRA Tagalog Small Uncased Discriminator
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Tagalog ELECTRA model pretrained with a large corpus scraped from the internet. This model is part of a larger research project. We open-source the model to allow greater usage within the Filipino NLP community.
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**Deprecation Notice**
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This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available.
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Use [`jcblaise/roberta-tagalog-base`](https://huggingface.co/jcblaise/roberta-tagalog-base) or [`jcblaise/roberta-tagalog-large`](https://huggingface.co/jcblaise/roberta-tagalog-large) instead for better performance.
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# ELECTRA Tagalog Small Uncased Discriminator
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Tagalog ELECTRA model pretrained with a large corpus scraped from the internet. This model is part of a larger research project. We open-source the model to allow greater usage within the Filipino NLP community.
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