Instructions to use GKLMIP/electra-laos-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GKLMIP/electra-laos-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("GKLMIP/electra-laos-base-uncased") model = AutoModelForPreTraining.from_pretrained("GKLMIP/electra-laos-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9a0d7dafc20d89cb2e72b868e6c301fe84b31c95af44b8c896259284e8844c2
- Size of remote file:
- 421 MB
- SHA256:
- de75b3a498ca059540391a89f56fba63677b363c86e8618d31ce84c4e39a9133
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