Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Kosee/roberta-base-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kosee/roberta-base-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kosee/roberta-base-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kosee/roberta-base-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("Kosee/roberta-base-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- pytorch_model.bin +1 -1
- runs/Mar08_19-25-46_6981bb9761b6/events.out.tfevents.1678303570.6981bb9761b6.204.0 +2 -2
- runs/Mar08_19-38-23_6981bb9761b6/1678304311.950406/events.out.tfevents.1678304311.6981bb9761b6.204.3 +3 -0
- runs/Mar08_19-38-23_6981bb9761b6/events.out.tfevents.1678304311.6981bb9761b6.204.2 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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