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:
- 96ebb5f8b7d307d1dc66a7cf3318cbbbd0765d13273c0aaa3db4bf2f8153216e
- Size of remote file:
- 268 MB
- SHA256:
- 0b697abd3205343dd90f0195f6b53ba12e9122f0da2c78546c436dd3c2b62366
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