Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use rizwan-ai/distilbert-base-uncased-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rizwan-ai/distilbert-base-uncased-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rizwan-ai/distilbert-base-uncased-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rizwan-ai/distilbert-base-uncased-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("rizwan-ai/distilbert-base-uncased-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7efa4a3e7cbe49359f938fd782d29d3594363843d0e11ef680e7c3bba6a626a3
- Size of remote file:
- 4.73 kB
- SHA256:
- d672df2806e4b013fbfdf9d995526b2c4e4a7d56a8b84b77b1d6213241ea11f0
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