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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1200
Browse files
model.safetensors
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