Instructions to use kadasterdst/t5-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kadasterdst/t5-pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kadasterdst/t5-pretrained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kadasterdst/t5-pretrained") model = AutoModel.from_pretrained("kadasterdst/t5-pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 883f4b0
Upload model
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tf_model.h5
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