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:
- be7ceddf7c20854bc296463500bcdb87a045748a64ed169025d5e4652d1f6ec0
- Size of remote file:
- 436 MB
- SHA256:
- a195bc0731de09e484e53d14e10f0f07a261aa9828407aed19f92090de6e02bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.