Instructions to use michaelbenayoun/t5-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelbenayoun/t5-tiny-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("michaelbenayoun/t5-tiny-random") model = AutoModelForSeq2SeqLM.from_pretrained("michaelbenayoun/t5-tiny-random") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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"use_cache": true,
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"vocab_size":
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}
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d1e893f28c5a9379641f84f97d8dd1100c711f78bf5b4ddd4a4e5e22ac10e4c
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size 11846424
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