Text Classification
Transformers
PyTorch
Safetensors
Spanish
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Venkatakrishnan-Ramesh/Hate_speech_spanish_vk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Venkatakrishnan-Ramesh/Hate_speech_spanish_vk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Venkatakrishnan-Ramesh/Hate_speech_spanish_vk")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Venkatakrishnan-Ramesh/Hate_speech_spanish_vk") model = AutoModelForSequenceClassification.from_pretrained("Venkatakrishnan-Ramesh/Hate_speech_spanish_vk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d18ad22ba59290df665fd6cb419a02179eda898a0f9147f1c265a4ec0059f2f
- Size of remote file:
- 736 kB
- SHA256:
- feae571ba8e5deedbfd947fcd79cda1f90fce31560534ac38b0cd606e4e93bea
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