Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Shubhu07/distilbert-base-uncased_finetuned_on_emotions_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubhu07/distilbert-base-uncased_finetuned_on_emotions_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shubhu07/distilbert-base-uncased_finetuned_on_emotions_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shubhu07/distilbert-base-uncased_finetuned_on_emotions_data") model = AutoModelForSequenceClassification.from_pretrained("Shubhu07/distilbert-base-uncased_finetuned_on_emotions_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0ec026143c95364a7750719d617d0b0f357beea7e41ac9cdeb9efd3bb471105
- Size of remote file:
- 5.37 kB
- SHA256:
- f3d390cd022978ec0559f0ee36d85933274e40b167071ff7c30e5ed4aa03cc5f
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