Instructions to use mbshr/urt5-base-init with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbshr/urt5-base-init with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mbshr/urt5-base-init") model = AutoModelForSeq2SeqLM.from_pretrained("mbshr/urt5-base-init", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 977d94e8922376ee8f6a9cf655f60a85a18033e93746018d18e225b57743bd82
- Size of remote file:
- 823 kB
- SHA256:
- 0f0c58eeb73f32cce3b9ff32bf312debcefecebb65f4a6f5345eb4d84a39e4e0
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