Instructions to use FuriouslyAsleep/markingMultiClass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FuriouslyAsleep/markingMultiClass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FuriouslyAsleep/markingMultiClass")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FuriouslyAsleep/markingMultiClass") model = AutoModelForSequenceClassification.from_pretrained("FuriouslyAsleep/markingMultiClass") - Notebooks
- Google Colab
- Kaggle
Commit History
Commit From AutoNLP 5cb73a6
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initial commit 8fd8f4a
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