Instructions to use Mooo49/WhatsEmotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mooo49/WhatsEmotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mooo49/WhatsEmotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mooo49/WhatsEmotions") model = AutoModelForSequenceClassification.from_pretrained("Mooo49/WhatsEmotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11e34da510fefacb18621aaff97e0cdf3cea2107cba47d865dcd516ad3ac1c37
- Size of remote file:
- 438 MB
- SHA256:
- a640940ccd778cc9cdcc55e27399f37e04c870a6cc943227493198befd47611f
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