Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl36 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl36") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl36") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed743ee478179aba05cc3025255bf9bc3ff18ce431da18cccd1a5fa6b8e3d290
- Size of remote file:
- 2.48 GB
- SHA256:
- 6536f33685390dcf9a8b660180d18028e45a96c2440d7ef6603b12af27b64332
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