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")# pip install -U transformers accelerate # 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
Download model.safetensors from NPCProgrammer/emo: direct link, hf CLI and curl.
- Browser
- Download file 46.8 MB
-
https://huggingface.co/NPCProgrammer/emo/resolve/main/model.safetensors
- Command line
-
hf download hf://NPCProgrammer/emo/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/NPCProgrammer/emo/resolve/main/model.safetensors
46.8 MB
- Xet hash:
- 956b9f377245e9587fdd3527e07afb6e486475f0ee502dcdc8006bc25adb228e
- Size of remote file:
- 46.8 MB
- SHA256:
- a0ce6546ccd4b39b770002d5e7a0f19835cda7001d414a0d01e07b099668be75
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