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:
- 5e689f0ec7a9bcd1b70209f1f01f01a4910c0df6d0df04eb978830852807b73d
- Size of remote file:
- 3.52 kB
- SHA256:
- 12877796770b4c32077e02525e834876a0c5eedaead4e7f1bf7cd7a223d41ec6
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