Text Classification
Transformers
TensorBoard
Safetensors
Indonesian
bert
monolingual
text-embeddings-inference
Instructions to use rollerhafeezh-amikom/indobertweet-base-uncased-fire-classification-silvanus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rollerhafeezh-amikom/indobertweet-base-uncased-fire-classification-silvanus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rollerhafeezh-amikom/indobertweet-base-uncased-fire-classification-silvanus")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rollerhafeezh-amikom/indobertweet-base-uncased-fire-classification-silvanus") model = AutoModelForSequenceClassification.from_pretrained("rollerhafeezh-amikom/indobertweet-base-uncased-fire-classification-silvanus") - Notebooks
- Google Colab
- Kaggle
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