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:
- 4e4803fa5cad646a31eb958f144c1301fad3b512ab105fffcdc51f1fb3233722
- Size of remote file:
- 2.29 kB
- SHA256:
- e70d76481edade4759662f7f7fafb7387bf76a194b54029617a695393baeec62
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