Instructions to use hschang98/codecarbon-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hschang98/codecarbon-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hschang98/codecarbon-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hschang98/codecarbon-text-classification") model = AutoModelForSequenceClassification.from_pretrained("hschang98/codecarbon-text-classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
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runs/Mar15_07-06-42_29d38a9fced0/events.out.tfevents.1710486424.29d38a9fced0.2360.2
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training_args.bin
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