Text Classification
Transformers
Safetensors
roberta
modernbert
generated-data
text-embeddings-inference
Instructions to use IsGarrido/gender_classifier_es_roberta_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IsGarrido/gender_classifier_es_roberta_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IsGarrido/gender_classifier_es_roberta_large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IsGarrido/gender_classifier_es_roberta_large") model = AutoModelForSequenceClassification.from_pretrained("IsGarrido/gender_classifier_es_roberta_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bad4bc05b0c23a498ab7bf05f4764e365d846369117e0e50fc59c3e8d4add13d
- Size of remote file:
- 5.91 kB
- SHA256:
- aa47aefae3a1cce8dd4c61cb7e7c54e8e9db15b2cdcf0832e7f77ce6d46873a7
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