Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ricardo-filho/google-play-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ricardo-filho/google-play-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ricardo-filho/google-play-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ricardo-filho/google-play-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("ricardo-filho/google-play-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82cb996d7b85aca1a6cefa2a9046c655cfef1b0005be90e21d9604a3d028662
- Size of remote file:
- 436 MB
- SHA256:
- 7b1ba21256e8f40d930f86f962cd7e36df4dbf9cb3f50462c694e901a6697ea4
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