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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Venkatakrishnan-Ramesh/Hate_speech_spanish_vk: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/Venkatakrishnan-Ramesh/Hate_speech_spanish_vk/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Venkatakrishnan-Ramesh/Hate_speech_spanish_vk/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Venkatakrishnan-Ramesh/Hate_speech_spanish_vk/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- 7fe9bd4991342d9279d88be9d4d9b84dfbe4f2cae2be7c75a49ae6f2eaeb0cd7
- Size of remote file:
- 439 MB
- SHA256:
- 50cb827af71978ae0ae79949c9458d03e18eb7c2f383d0f9af8a1ab5e33eafc9
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