Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Synho/sagemaker-distilbert-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synho/sagemaker-distilbert-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Synho/sagemaker-distilbert-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Synho/sagemaker-distilbert-emotion") model = AutoModelForSequenceClassification.from_pretrained("Synho/sagemaker-distilbert-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffaf0d96ddc33c86ad25e5e877eae639e3dcc18ab6b12af0093404d6952bcea8
- Size of remote file:
- 268 MB
- SHA256:
- dfb89d02badf7571a618ff00a7fd4f1300319dbb1c2c54c790d701e2527346c8
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