Transformers
PyTorch
JAX
TensorBoard
Safetensors
German
t5
text2text-generation
text-generation-inference
Instructions to use gwlms/t5-efficient-base-dewiki-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gwlms/t5-efficient-base-dewiki-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gwlms/t5-efficient-base-dewiki-v1") model = AutoModelForSeq2SeqLM.from_pretrained("gwlms/t5-efficient-base-dewiki-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 717589b202c48c5e89940b45c3a344e1944daba4ee86728ae18eced2087f60e0
- Size of remote file:
- 2.48 GB
- SHA256:
- 0c1afc648e0ec798227610e12a94c8e0e5ace0544df2120ec8cfa4025925e471
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