Transformers
PyTorch
JAX
TensorBoard
Safetensors
German
t5
text2text-generation
text-generation-inference
Instructions to use gwlms/t5-efficient-large-dewiki-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gwlms/t5-efficient-large-dewiki-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gwlms/t5-efficient-large-dewiki-v1") model = AutoModelForSeq2SeqLM.from_pretrained("gwlms/t5-efficient-large-dewiki-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4ae656e62becf8c842b649fa12c51771161d24ab14d265507b2e861a1c89a46
- Size of remote file:
- 4.36 GB
- SHA256:
- 72e5c5b575343f28f35d92fd3f26abf115b6d2e9306a3862f61a44dd5dd48d0e
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