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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f48a420e6bd69f340b47bdf71555698d1e6424e8bc31dfbe9c3deccaf2eca9ce
- Size of remote file:
- 5.37 kB
- SHA256:
- 33038e5e49f49d0cac72ce6dfda0785a89b3870a15308f41cf20cfd12ea54143
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