Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
Sundanese
bert
sundanese-bert-base-emotion-classifier
text-embeddings-inference
Instructions to use w11wo/sundanese-bert-base-emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/sundanese-bert-base-emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="w11wo/sundanese-bert-base-emotion-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("w11wo/sundanese-bert-base-emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("w11wo/sundanese-bert-base-emotion-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7613371855225257e68791717a8edc2d90ff2f9f05c8bfae7a9b5b20112599d
- Size of remote file:
- 438 MB
- SHA256:
- feacb1414f216e90d250c6b1f668657dfe08faaebdae9ff7f9e454279bb8215c
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