Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Edmon02/distilbert-base-uncased-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edmon02/distilbert-base-uncased-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Edmon02/distilbert-base-uncased-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Edmon02/distilbert-base-uncased-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("Edmon02/distilbert-base-uncased-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 061f2db7a9ff7be7e04da334eca13280611d3c346a148d9acf54f62c5cf5596b
- Size of remote file:
- 3.07 kB
- SHA256:
- 9d372da78b7aff2e68c8db6bed80c18cad76ac212609fd1cc2027c2ff9eeca95
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