Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0802323b19b7e5b3214e60f6f1267c7b07ad02199536785fee289ec9cc818f4d
- Size of remote file:
- 276 MB
- SHA256:
- c0db7090f3b1b3f8bf55a3de89633ae8be6f00ace72280e96c55638e56635b4e
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