Instructions to use tarudesu/ViHateT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tarudesu/ViHateT5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tarudesu/ViHateT5-base") model = AutoModelForSeq2SeqLM.from_pretrained("tarudesu/ViHateT5-base") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7b689c0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8b2ffef5c62bd04de09f3bd0f94377fc4f1c2b682c3a04c038180567863e1ceb
size 891539332
|