Text Classification
Transformers
Safetensors
English
deberta
debarta
debarta-xlarge
emotions-classifier
Instructions to use AnkitAI/deberta-xlarge-base-emotions-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnkitAI/deberta-xlarge-base-emotions-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnkitAI/deberta-xlarge-base-emotions-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnkitAI/deberta-xlarge-base-emotions-classifier") model = AutoModelForSequenceClassification.from_pretrained("AnkitAI/deberta-xlarge-base-emotions-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download banner.svg from AnkitAI/deberta-xlarge-base-emotions-classifier: direct link, hf CLI and curl.
- Browser
- Download file 239 kB
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https://huggingface.co/AnkitAI/deberta-xlarge-base-emotions-classifier/resolve/d6f28724629f00376973fcbe5f9365538468d77e/banner.svg
- Command line
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hf download hf://AnkitAI/deberta-xlarge-base-emotions-classifier@d6f28724629f00376973fcbe5f9365538468d77e/banner.svg
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curl -L -o banner.svg https://huggingface.co/AnkitAI/deberta-xlarge-base-emotions-classifier/resolve/d6f28724629f00376973fcbe5f9365538468d77e/banner.svg
239 kB