Instructions to use abletobetable/rubert-tiny-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/rubert-tiny-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abletobetable/rubert-tiny-emotion-recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abletobetable/rubert-tiny-emotion-recognition") model = AutoModelForSequenceClassification.from_pretrained("abletobetable/rubert-tiny-emotion-recognition") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 2c8cbf0
Training in progress, step 10000
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pytorch_model.bin
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