Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-el4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-el4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-el4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-el4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10163c6e77c2d407e1d95cbd5e54970c1413f0782cc691587b2dc5bc44c4d2a3
- Size of remote file:
- 665 MB
- SHA256:
- 3146b2e40e3fdb79c01697c89006183b6ea253a134ed5f23a50055b738ac9dd7
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