Transformers
PyTorch
TensorFlow
English
t5
text2text-generation
t5-lm-adapt
text-generation-inference
Instructions to use google/t5-xxl-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-xxl-lm-adapt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-xxl-lm-adapt") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-xxl-lm-adapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51e1b6824cc5c6e11d83b81b0970b9be12b9cd069dcb33d160f24f1c054f295d
- Size of remote file:
- 44.5 GB
- SHA256:
- cd0e2b5cfa7619c3b2b23288e2d2768ee64c6b3e8e25e909e78eba589f70145a
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