Instructions to use IMSyPP/hate_speech_slo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMSyPP/hate_speech_slo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMSyPP/hate_speech_slo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMSyPP/hate_speech_slo") model = AutoModelForSequenceClassification.from_pretrained("IMSyPP/hate_speech_slo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Hate Speech Classifier for Social Media Content in Slovenian Language
|
| 2 |
|
| 3 |
A monolingual model for hate speech classification of social media content in Slovenian language. The model was trained on 50,000 Twitter comments and tested on an independent test set of 10,000 Twitter comments. It is based on multilingual CroSloEngual BERT pre-trained language model.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
task:
|
| 3 |
+
- text classification
|
| 4 |
+
|
| 5 |
+
inference:
|
| 6 |
+
- true
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
# Hate Speech Classifier for Social Media Content in Slovenian Language
|
| 10 |
|
| 11 |
A monolingual model for hate speech classification of social media content in Slovenian language. The model was trained on 50,000 Twitter comments and tested on an independent test set of 10,000 Twitter comments. It is based on multilingual CroSloEngual BERT pre-trained language model.
|