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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d09a7054e0eda58d398dcf66081b234fb1ded9c1982e91a15e41f3c8a1685663
- Size of remote file:
- 16.3 MB
- SHA256:
- 08014f9e2badb29faf5a659571a5df59bc1a0fd0f353e0d36b2232b02cbeafcd
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