Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use lewtun/sagemaker-distilbert-emotion-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewtun/sagemaker-distilbert-emotion-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lewtun/sagemaker-distilbert-emotion-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lewtun/sagemaker-distilbert-emotion-1") model = AutoModelForSequenceClassification.from_pretrained("lewtun/sagemaker-distilbert-emotion-1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Add evaluation results on the default config and test split of emotion
#2 opened over 3 years ago
by
autoevaluator
Add evaluation results on emotion dataset
#1 opened almost 4 years ago
by
autoevaluator