Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-dl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-dl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-dl6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-dl6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 183c7d2222c74df649a17fea653759a4628274dc66383ad0344f26ee41909750
- Size of remote file:
- 665 MB
- SHA256:
- 62eb3cb479220b5cb1ead1ca63426afeb861991bab138f08efd5c2246597f535
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