Instructions to use luisespinosa/definition-modeling-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luisespinosa/definition-modeling-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("luisespinosa/definition-modeling-v2") model = AutoModelForSeq2SeqLM.from_pretrained("luisespinosa/definition-modeling-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7073f9994f6099a63b3c7e34ebd1a6b757b0c74e689a399b46ad98d8e209e309
- Size of remote file:
- 3.57 kB
- SHA256:
- 471ff08c8ef5ccf05519ea0a5283f5409ee34a5f9ecc62ae2739a74e8cc3dd34
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.