Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use statistician71/distilbert-base-uncased-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use statistician71/distilbert-base-uncased-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="statistician71/distilbert-base-uncased-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("statistician71/distilbert-base-uncased-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("statistician71/distilbert-base-uncased-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc090323d7c96783830aa412509ca89088dc346a216e992e600983327e833f82
- Size of remote file:
- 268 MB
- SHA256:
- b58423e1eeda84d2f823202f73774a0436509c79703048120ce8076a9dc6de7d
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