Transformers
PyTorch
TensorFlow
English
t5
text2text-generation
t5-lm-adapt
text-generation-inference
Instructions to use google/t5-base-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-base-lm-adapt with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-base-lm-adapt") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-base-lm-adapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from google/t5-base-lm-adapt: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
-
https://huggingface.co/google/t5-base-lm-adapt/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://google/t5-base-lm-adapt@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/google/t5-base-lm-adapt/resolve/refs%2Fpr%2F2/tokenizer.json
1.39 MB
File too large to display, you can check the raw version instead.