Instructions to use google/umt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/umt5-small with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("google/umt5-small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload UMT5ForConditionalGeneration
Browse files- generation_config.json +1 -0
generation_config.json
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{
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"_from_model_config": true,
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"eos_token_id": 1,
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"max_new_tokens": 64,
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"pad_token_id": 0,
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"max_new_tokens": 64,
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"pad_token_id": 0,
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