Instructions to use a2ran/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a2ran/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="a2ran/emotion_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("a2ran/emotion_classification") model = AutoModelForSequenceClassification.from_pretrained("a2ran/emotion_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download model/readme.md from a2ran/emotion_classification: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/a2ran/emotion_classification/resolve/main/model/readme.md
- Command line
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hf download hf://a2ran/emotion_classification/model/readme.md
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curl -L -o readme.md https://huggingface.co/a2ran/emotion_classification/resolve/main/model/readme.md
0 Bytes