Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use danielribeiro/google-play-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielribeiro/google-play-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danielribeiro/google-play-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danielribeiro/google-play-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("danielribeiro/google-play-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f717cbb90ab30d532664e722c92583945bfb525c75bddac4a30d5f511c741c4e
- Size of remote file:
- 4.6 kB
- SHA256:
- 4edd0a6512379e67e2d57d4bab91ee487a7b34e09c560ba8a648c2298ce65350
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