Instructions to use GKLMIP/electra-tagalog-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GKLMIP/electra-tagalog-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GKLMIP/electra-tagalog-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GKLMIP/electra-tagalog-base-uncased") model = AutoModelForMaskedLM.from_pretrained("GKLMIP/electra-tagalog-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0369aac2e90546d8817943a196f2846cb12def1a98ae57fc5ec3763a65129d91
- Size of remote file:
- 504 MB
- SHA256:
- c1d248202c19f1dfabcfad0cac9a226cced23d1646c3a761c1a77ad565dc3751
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