Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use evenicole/google-play-sentiment-analysis_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evenicole/google-play-sentiment-analysis_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="evenicole/google-play-sentiment-analysis_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("evenicole/google-play-sentiment-analysis_v2") model = AutoModelForSequenceClassification.from_pretrained("evenicole/google-play-sentiment-analysis_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5632dc1feb2660716d93042138fb7266c5fd9778c5940a9ada5883989588c3d
- Size of remote file:
- 436 MB
- SHA256:
- 5b577f7e3003c571c50e4651445ca49bd1978aa6a3927d2efabdfd7ac31e4666
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