Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-xl-nl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-xl-nl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-xl-nl6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-xl-nl6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e1e7c090065d00561747c45f0904a86e50da44831eeb0b4dd5acf0b577992a0
- Size of remote file:
- 2.95 GB
- SHA256:
- 3f7f0910ea36aae9cf625349e5d1e0e9ec699752a236227f6f45ffb5bb0e6e37
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