Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use evenicole/google-play-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evenicole/google-play-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="evenicole/google-play-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("evenicole/google-play-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("evenicole/google-play-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6d64692ecfa278a31acae1db565cffd2eb3fc7e7083fa3ff8faa01ad6b6aa7c
- Size of remote file:
- 4.6 kB
- SHA256:
- 10d3aae3c870efca16fcbce24a441b935937512f967a30b23792c75ac35dbb58
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