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")# 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
update model card README.md
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README.md
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license: apache-2.0
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tags:
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- text-classification
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- generated_from_trainer
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model-index:
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- name: misogynistic-statements-classification-model
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# misogynistic-statements-classification-model
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This model is a fine-tuned version of [
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## Model description
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: misogynistic-statements-classification-model
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# misogynistic-statements-classification-model
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
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## Model description
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