Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-mini-nl24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-mini-nl24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-mini-nl24") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-mini-nl24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b792d88afbab921993bfc444fb3dd8d9515ca21b69a7ef1be7b0e5715634e63
- Size of remote file:
- 503 MB
- SHA256:
- cb9f91887794671decacf4d331bc96892d3932d9a58b6afbd3cc6f60e2b2f223
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