Instructions to use dafqi/IndoBERT-base-p2-Text-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafqi/IndoBERT-base-p2-Text-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dafqi/IndoBERT-base-p2-Text-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dafqi/IndoBERT-base-p2-Text-Classification") model = AutoModelForSequenceClassification.from_pretrained("dafqi/IndoBERT-base-p2-Text-Classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 800
Browse files
model.safetensors
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runs/May23_09-26-47_0bc68355710c/events.out.tfevents.1716456412.0bc68355710c.34.3
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training_args.bin
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