Text Classification
Transformers
PyTorch
TensorBoard
Spanish
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use glombardo/misogynistic-statements-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glombardo/misogynistic-statements-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="glombardo/misogynistic-statements-classification-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("glombardo/misogynistic-statements-classification-model") model = AutoModelForSequenceClassification.from_pretrained("glombardo/misogynistic-statements-classification-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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model-index:
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- name: misogynistic-statements-classification-model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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model-index:
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- name: misogynistic-statements-classification-model
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results: []
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widget:
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- text: "Las mujeres deben ser madres antes que nada"
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example_title: "Machista"
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- text: "Las mujeres tienen el mismo potencial y habilidades para los negocios que los hombres"
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example_title: "No machista"
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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