Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use bhadresh-savani/bertweet-base-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhadresh-savani/bertweet-base-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bhadresh-savani/bertweet-base-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bhadresh-savani/bertweet-base-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("bhadresh-savani/bertweet-base-finetuned-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#5 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#4 opened over 3 years ago
by
SFconvertbot