Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nl2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f8afa2817339e1e3b719f9b8bfa7086eabae9969580493ed93233f794f9d2ed
- Size of remote file:
- 367 MB
- SHA256:
- adc5df800cf9bfff0e74997dc79d870b864cc0a2deb44ca81fc7f49ca4e38631
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