Instructions to use wonione/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wonione/sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wonione/sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wonione/sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("wonione/sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload config.json
2547f00
-
Update README.md
9ddc014 -
Update README.md
9d497ec
-
Create README.md
9e38154 -
Delete epoch=4-val_loss=1.61.ckpt
f9ab109 -
Upload pytorch_model_0615.bin
84e2baa -
Update README.md
25d044a -
Update README.md
950c8a8 -
Create README.md
5e82604 -
Upload epoch=4-val_loss=1.61.ckpt
4048e96 -
initial commit
d3b79be