Instructions to use Abdoel03/Indobert-Halim-modelMBG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abdoel03/Indobert-Halim-modelMBG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abdoel03/Indobert-Halim-modelMBG")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abdoel03/Indobert-Halim-modelMBG") model = AutoModelForSequenceClassification.from_pretrained("Abdoel03/Indobert-Halim-modelMBG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 093ddb0d34edd0b542f94744dbbbfac0cd75e40741870aa318241698101ad146
- Size of remote file:
- 996 MB
- SHA256:
- 93bc9d651bdc2700ea55900731c2c9996799cc9c66ed4e89fe12e76a4294e714
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