Instructions to use everyl12/stance_class_mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use everyl12/stance_class_mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="everyl12/stance_class_mod")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("everyl12/stance_class_mod") model = AutoModelForSequenceClassification.from_pretrained("everyl12/stance_class_mod") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/May15_23-41-28_rtx3090-aurora-r13/events.out.tfevents.1684208494.rtx3090-aurora-r13.58720.0
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