Instructions to use amazingvince/ul3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amazingvince/ul3-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amazingvince/ul3-base") model = AutoModelForSeq2SeqLM.from_pretrained("amazingvince/ul3-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: en | |
| license: mit | |
| tags: ['t5', 'transformers'] | |
| # amazingvince/ul3-base | |
| Description of your model | |
| ## Usage | |
| ```python | |
| from transformers import AutoModel, AutoTokenizer | |
| tokenizer = AutoTokenizer.from_pretrained("amazingvince/ul3-base") | |
| model = AutoModel.from_pretrained("amazingvince/ul3-base") | |
| ``` | |