Instructions to use shogumbo/testing2-multilabel-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shogumbo/testing2-multilabel-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shogumbo/testing2-multilabel-classifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("shogumbo/testing2-multilabel-classifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34eb44c3338886b7317e9271e30b3ac5d7b5051e9cee8c016ea755b2f4c4589a
- Size of remote file:
- 449 MB
- SHA256:
- c79c3c4a98b6685e775eaf1f6dadd5cc50a98aae9d7bab28f7b005046b464e15
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