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 training_args.bin from NPCProgrammer/emo: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/NPCProgrammer/emo/resolve/a6b899943c2bcdb3fdf56d29ceabeba28353f708/training_args.bin
- Command line
-
hf download hf://NPCProgrammer/emo@a6b899943c2bcdb3fdf56d29ceabeba28353f708/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NPCProgrammer/emo/resolve/a6b899943c2bcdb3fdf56d29ceabeba28353f708/training_args.bin
4.86 kB
- Xet hash:
- 13171af433b1639c355fbf05895afa6c318e2f148664c78bc2de9ab0cce91ba3
- Size of remote file:
- 4.86 kB
- SHA256:
- b971d46c9e772e332c04ec73889b59da6d5e1b7bb456bdaeae20f555c12af4fb
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