Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use transformersbook/distilbert-base-uncased-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transformersbook/distilbert-base-uncased-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="transformersbook/distilbert-base-uncased-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("transformersbook/distilbert-base-uncased-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("transformersbook/distilbert-base-uncased-finetuned-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
distilbert-base-uncased-finetuned-emotion is not a directory
#8 opened over 2 years ago
by
seobak
Create 16
#7 opened almost 3 years ago
by
Ahmetcan16
Librarian Bot: Add base_model information to model
#6 opened about 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#5 opened over 3 years ago
by
SFconvertbot
Can't clone transformersbook / distilbert-base-uncased-finetuned-emotion
1
#4 opened over 3 years ago
by
vimalkansal
Fix label mappings
#2 opened over 4 years ago
by
lewtun
Fix label mappings
#1 opened over 4 years ago
by
lewtun