Text Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
Javanese
roberta
javanese-roberta-small-imdb-classifier
text-embeddings-inference
Instructions to use w11wo/javanese-roberta-small-imdb-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/javanese-roberta-small-imdb-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="w11wo/javanese-roberta-small-imdb-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("w11wo/javanese-roberta-small-imdb-classifier") model = AutoModelForSequenceClassification.from_pretrained("w11wo/javanese-roberta-small-imdb-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff7df2b27d2f756c1f1d435fc369ffec601fd03a57c41ca955dd1a2e5ab90515
- Size of remote file:
- 499 MB
- SHA256:
- f9c6c45fd1b9e8563b5499ab5a60cf1b620fd75e5390f7554a2fff0dc0c14e47
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