Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use leandrocarneiro/google-play-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leandrocarneiro/google-play-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leandrocarneiro/google-play-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leandrocarneiro/google-play-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("leandrocarneiro/google-play-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63cc6ce9fdeb1105ffbbbed6380e676697a20d3824441249e55153d394e7cfa6
- Size of remote file:
- 4.6 kB
- SHA256:
- 67e9b734911812bdeaf69f5f6eda6668714c00bb7b27d24a62d2b0d306ba7d17
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