Instructions to use muellerzr/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muellerzr/sequence_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="muellerzr/sequence_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("muellerzr/sequence_classification") model = AutoModelForSequenceClassification.from_pretrained("muellerzr/sequence_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Oct23_13-42-04_zach-multi-gpu/events.out.tfevents.1698068526.zach-multi-gpu.2737179.0
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training_args.bin
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