Instructions to use fathan/indojave-codemixed-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathan/indojave-codemixed-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fathan/indojave-codemixed-bert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fathan/indojave-codemixed-bert-base") model = AutoModelForMaskedLM.from_pretrained("fathan/indojave-codemixed-bert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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@@ -44,6 +44,7 @@ In the second stage pre-processing, we do the following pre-processing tasks:
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- remove sentences with token length less than 4,
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- convert ‘@username’ to ‘@USER’,
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- convert URL to HTTPURL.
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Finally, we have 28,121,693 sentences for our pre-training task.
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## Model
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- remove sentences with token length less than 4,
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- convert ‘@username’ to ‘@USER’,
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- convert URL to HTTPURL.
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Finally, we have 28,121,693 sentences for our pre-training task.
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## Model
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