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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98b0243cb9d73eb7b062a620fedfd25f8536678d1ef4549f738940622ec43d20
- Size of remote file:
- 3.12 kB
- SHA256:
- cd313ded2860a5976814a8153a906dff55f66fc200a097f823b740128f21c302
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