Instructions to use UBC-NLP/IndT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/IndT5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UBC-NLP/IndT5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
elmadany commited on
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Parent(s): 01ad928
commit from elmadany
Browse files- config.json +0 -4
config.json
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{
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"_name_or_path": "/home/patrick/hugging_face/t5/t5-v1_1-base",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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{
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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