Instructions to use tarudesu/ViHateT5-base-HSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tarudesu/ViHateT5-base-HSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tarudesu/ViHateT5-base-HSD")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tarudesu/ViHateT5-base-HSD") model = AutoModelForSeq2SeqLM.from_pretrained("tarudesu/ViHateT5-base-HSD") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 7 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot