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:
- 719164cc57a21bae9df3e779f3a2d2d2acfa913285d27839b9bdc8b351b158ce
- Size of remote file:
- 436 MB
- SHA256:
- fa208cbf5ecaedb53ee19269c2a47f4a5090fea265a8529da60f2883d04b7dec
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