Instructions to use privacy-tech-lab/MultitaskModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use privacy-tech-lab/MultitaskModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/MultitaskModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/MultitaskModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/MultitaskModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b93dd9924d665b894ef69842ad51ef85cb437560a96c58088da557f80533750
- Size of remote file:
- 57.4 MB
- SHA256:
- 3c08e3eca43cbe62ac4938679f0372b56c0d44a0aacb113abb6cf73d79d690aa
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