Instructions to use everyl12/crisis_emotion_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use everyl12/crisis_emotion_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="everyl12/crisis_emotion_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("everyl12/crisis_emotion_roberta") model = AutoModelForSequenceClassification.from_pretrained("everyl12/crisis_emotion_roberta") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
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runs/Oct08_15-03-25_wong-linux/1665255853.892921/events.out.tfevents.1665255853.wong-linux.38340.1
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runs/Oct08_15-03-25_wong-linux/events.out.tfevents.1665255853.wong-linux.38340.0
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training_args.bin
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