Instructions to use aliciiavs/emotionbalanced2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliciiavs/emotionbalanced2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aliciiavs/emotionbalanced2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aliciiavs/emotionbalanced2") model = AutoModelForSequenceClassification.from_pretrained("aliciiavs/emotionbalanced2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9616c748fba182d081cf850246502c8320ff8145a311001ead3aea5c3f0cbe3
- Size of remote file:
- 4.92 kB
- SHA256:
- 2b2483b4d6213e37b99b394d2948dd68d6e35a5c5c2baf256cb03eb223e7d660
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