Text Classification
Transformers
PyTorch
Safetensors
English
roberta
emotion
20 classes
code
emotions
text-embeddings-inference
Instructions to use jitesh/emotion-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jitesh/emotion-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jitesh/emotion-english")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jitesh/emotion-english") model = AutoModelForSequenceClassification.from_pretrained("jitesh/emotion-english", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e7f2dffeb2726e17500b7490dfae71eb49a80c02f53520f5de4404e0f716358
- Size of remote file:
- 329 MB
- SHA256:
- 40b3a69647aece2fc39456302f38ba2cb3800d6c540aa76ff0e631e19b6cb12e
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