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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c62155693c6b5c4d44c98335d1c4e5b9a5c70d56b3511ddb5c92af55cda21145
- Size of remote file:
- 46.8 MB
- SHA256:
- 1a4fb4121a149f4048e1c2dd87ecc3ec0267c6e2f13e447c56830de74cacd415
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