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
Download pytorch_model.bin from glombardo/misogynistic-statements-classification-model: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/glombardo/misogynistic-statements-classification-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://glombardo/misogynistic-statements-classification-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/glombardo/misogynistic-statements-classification-model/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 5ad1a538b9170f055cb90a60175a10b7aedfa6b2d8c194065b9f5aa49a00f988
- Size of remote file:
- 329 MB
- SHA256:
- 6e45388617640801483404222c75d2f3db9b01083af935d70eede54fdfebcc10
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