Instructions to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-ra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-ra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-ra") - Notebooks
- Google Colab
- Kaggle
How to interpret the labels
#1
by Kurapika993 - opened
How to interpret the labels, Label 0, 1, 2
like is it
0 positive
1 neutral
2 negative ?
Hello,
The interpretation is as follows:
Label 0 -> Non-HS
Label 1 -> Explicit HS
Label 2 -> Implicit HS
Thanks for pointing this out. I will modify the models in such a way the output gives these labels instead of just directly 0, 1, and 2.
Kurapika993 changed discussion status to closed