Instructions to use knowledgator/comprehend_it-multilingual-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/comprehend_it-multilingual-t5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="knowledgator/comprehend_it-multilingual-t5-base")# Load model directly from transformers import T5ForZeroShotClassification model = T5ForZeroShotClassification.from_pretrained("knowledgator/comprehend_it-multilingual-t5-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec686d4363885f6b606d5294d4ba8b31e0721a41142a9a30b0582071e54ee1b
- Size of remote file:
- 1.56 GB
- SHA256:
- 3e3e6bbf673be605d3928bde88a459db24fb8e8cc8cfe4006faaf856697c1a4f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.