Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-mini-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-mini-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-mini-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-mini-nl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b2a697f228083596151601b420018a6875fe460507049453549405acd938dbe
- Size of remote file:
- 200 MB
- SHA256:
- bf7ec3ea15c4c5697b30ad9dd6679086eeedc482931c9f3845d28cefbf4b4317
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