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
First commit 🤗
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- train_results.json +4 -4
all_results.json
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"train_loss": 0.2522118290265401,
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"train_runtime": 3.458,
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"train_samples_per_second": 110.179,
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"train_steps_per_second": 13.881
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train_results.json
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"epoch": 3.0,
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"total_flos": 5206072257336.0,
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"train_loss": 0.2522118290265401,
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"train_runtime": 3.458,
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"train_samples_per_second": 110.179,
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"train_steps_per_second": 13.881
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