Transformers
PyTorch
TensorFlow
English
t5
text2text-generation
t5-lm-adapt
text-generation-inference
Instructions to use google/t5-small-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-small-lm-adapt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-small-lm-adapt") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-small-lm-adapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7e10015dd97f8bca22e8878853262468d2a16c8048c2fa71023779869ca4f42
- Size of remote file:
- 308 MB
- SHA256:
- caf2f8375bd2c4c9a7496805480e604c4c6a62ef71d6838b776d27bddc6e0535
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