Text Classification
Transformers
Safetensors
roberta
modernbert
generated-data
text-embeddings-inference
Instructions to use IsGarrido/gender_classifier_es_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IsGarrido/gender_classifier_es_roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IsGarrido/gender_classifier_es_roberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IsGarrido/gender_classifier_es_roberta_base") model = AutoModelForSequenceClassification.from_pretrained("IsGarrido/gender_classifier_es_roberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e08cbf45f50ba4059809ea7c85f052290acc22f151a2fd983f5f63ea52f77bb3
- Size of remote file:
- 5.91 kB
- SHA256:
- c4ad1e92988137cc5c6cb070c645040f6fadde7c9fa672670d6fb2245030bbb1
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