Instructions to use tetianamohorian/hate_speech_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tetianamohorian/hate_speech_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tetianamohorian/hate_speech_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tetianamohorian/hate_speech_model") model = AutoModelForSequenceClassification.from_pretrained("tetianamohorian/hate_speech_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from huggingface_hub import HfApi | |
| api = HfApi() | |
| api.upload_folder( | |
| folder_path="backend/hate_speech_model/final_model", | |
| repo_id="tetianamohorian/hate_speech_model", | |
| repo_type="model" | |
| ) | |