Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-dl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-dl2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-dl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-dl2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from google/t5-efficient-tiny-dl2: direct link, hf CLI and curl.
- Browser
- Download file 147 Bytes
-
https://huggingface.co/google/t5-efficient-tiny-dl2/resolve/main/generation_config.json
- Command line
-
hf download hf://google/t5-efficient-tiny-dl2/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/google/t5-efficient-tiny-dl2/resolve/main/generation_config.json
147 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.27.0.dev0" | |
| } | |