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:
- d4348356a7524f0c049911bab9f7cc28ea144544f3660ce97dc05b86f8ca9d18
- Size of remote file:
- 4.6 kB
- SHA256:
- 0afa06c7d074a76d287494b5493b67fc6f0c9cb8d66260bbe1a5c90520fb5c97
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