Instructions to use ai4data/datause-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ai4data/datause-classifier with PEFT:
Task type is invalid.
- Transformers
How to use ai4data/datause-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ai4data/datause-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ai4data/datause-classifier", device_map="auto") - GLiNER
How to use ai4data/datause-classifier with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("ai4data/datause-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 002fe9677c14cd299bcb9256ec517411c8cbfc413911c87e85be0bd20c2b1acc
- Size of remote file:
- 31.8 MB
- SHA256:
- b77e6167c849c75d551e78e59fd150932ee67bbb9a8d3f230f13f1bca2b9f593
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