Text Classification
Transformers
TensorFlow
TensorBoard
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use aadhistii/tsel-finetune-indobertweet-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aadhistii/tsel-finetune-indobertweet-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aadhistii/tsel-finetune-indobertweet-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aadhistii/tsel-finetune-indobertweet-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("aadhistii/tsel-finetune-indobertweet-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89b9a43668a7eb986933cc937844ba77876149fb45e3c8abff9d32dc873684ca
- Size of remote file:
- 443 MB
- SHA256:
- 10c711cc2fc7cac8efe4195adbb978c0ed2819d2454ea0cc72069cdc4abf5f7c
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