Text Classification
Transformers
Safetensors
xlm-roberta
modernbert
generated-data
text-embeddings-inference
Instructions to use IsGarrido/gender_classifier_multi_xlmroberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IsGarrido/gender_classifier_multi_xlmroberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IsGarrido/gender_classifier_multi_xlmroberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IsGarrido/gender_classifier_multi_xlmroberta_base") model = AutoModelForSequenceClassification.from_pretrained("IsGarrido/gender_classifier_multi_xlmroberta_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cfa8f7066c191463c939099de2ff90ad010effc278d206468a2ebc315f48e42
- Size of remote file:
- 5.91 kB
- SHA256:
- 2c8a58b4a32779512659e3dd48ca133293443790856eab26e23661f65c39a833
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