Instructions to use vikenkd/mt5-base-medium-poem-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikenkd/mt5-base-medium-poem-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vikenkd/mt5-base-medium-poem-generation") model = AutoModelForSeq2SeqLM.from_pretrained("vikenkd/mt5-base-medium-poem-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
39ab240 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2bc772e813ad3cac08b9094f86da51e51099a5972b4618474a72784f06eef279
size 16350029
|