Text Classification
Transformers
PyTorch
Safetensors
English
roberta
sagemaker
roberta-base
text classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use Jorgeutd/sagemaker-roberta-base-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jorgeutd/sagemaker-roberta-base-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jorgeutd/sagemaker-roberta-base-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jorgeutd/sagemaker-roberta-base-emotion") model = AutoModelForSequenceClassification.from_pretrained("Jorgeutd/sagemaker-roberta-base-emotion") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the default config and test split of emotion
#1
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π!
Your model has been evaluated on the default config and test split of the emotion dataset by @neehau , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.
Jorgeutd changed pull request status to merged