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:
- fe0db936da260cd2c17791e01e014862648f2ee01d2d293076e31f59fb0d52a7
- Size of remote file:
- 46.8 MB
- SHA256:
- 81e00c035de6739e3fa7cc34e30b43b1b55d00fd7d6b1407be7036bb3b0224e6
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