Instructions to use GKLMIP/electra-myanmar-small-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GKLMIP/electra-myanmar-small-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("GKLMIP/electra-myanmar-small-uncased") model = AutoModelForPreTraining.from_pretrained("GKLMIP/electra-myanmar-small-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from GKLMIP/electra-myanmar-small-uncased: direct link, hf CLI and curl.
- Browser
- Download file 104 MB
-
https://huggingface.co/GKLMIP/electra-myanmar-small-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://GKLMIP/electra-myanmar-small-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GKLMIP/electra-myanmar-small-uncased/resolve/main/pytorch_model.bin
104 MB
- Xet hash:
- b804bad2f569ca7e4cbca44e4c67a954aadc2ccadb736f1dfd789990e4b36920
- Size of remote file:
- 104 MB
- SHA256:
- e32ff988d8b4a0f76defca6d043a8c09dd5dd4f5a81247029e32fe4cc1d05403
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