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 4.92 kB
-
https://huggingface.co/NPCProgrammer/emo/resolve/73b1c03c8a7f168d77a9c0ef8a0ee7a48e6ea26f/training_args.bin
- Command line
-
hf download hf://NPCProgrammer/emo@73b1c03c8a7f168d77a9c0ef8a0ee7a48e6ea26f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NPCProgrammer/emo/resolve/73b1c03c8a7f168d77a9c0ef8a0ee7a48e6ea26f/training_args.bin
4.92 kB
- Xet hash:
- 8bc860633ba7a6db5749a13ebbbaf2a7813dfcfb7af5a6cfd2f4e7ddd6a82ae9
- Size of remote file:
- 4.92 kB
- SHA256:
- 42cb9ab85c2a840f47a1a4ea0a41298b720b91f17578d6fa12fa811c7e3eefc6
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