Instructions to use privacy-tech-lab/MultitaskBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use privacy-tech-lab/MultitaskBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/MultitaskBaseModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/MultitaskBaseModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/MultitaskBaseModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
668262d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0e2de3e37349b1d1bdd2de0067f128982ede335a7d8bbf29b19ffc6676eb2684
size 3119
|