Text Classification
Transformers
TensorBoard
Safetensors
Spanish
bert
Generated from Trainer
hate towards LGBT communities
BETO
text-embeddings-inference
Instructions to use LaProfeClaudis/LGBeTO_detection_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LaProfeClaudis/LGBeTO_detection_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LaProfeClaudis/LGBeTO_detection_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LaProfeClaudis/LGBeTO_detection_Model") model = AutoModelForSequenceClassification.from_pretrained("LaProfeClaudis/LGBeTO_detection_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c04800ee472f09bbb38e3d23f1be98bf2c489110929f970ec4ba7e8d11a5202
- Size of remote file:
- 439 MB
- SHA256:
- e56db747d409efec5755fa28bfdaabfeda1902875fba3ea3493d1b0ded3cf255
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