Instructions to use NPCProgrammer/emo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/emo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/emo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/emo") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/emo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 956b9f377245e9587fdd3527e07afb6e486475f0ee502dcdc8006bc25adb228e
- Size of remote file:
- 46.8 MB
- SHA256:
- a0ce6546ccd4b39b770002d5e7a0f19835cda7001d414a0d01e07b099668be75
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