Instructions to use JFernandoGRE/classificator_names with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JFernandoGRE/classificator_names with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JFernandoGRE/classificator_names")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JFernandoGRE/classificator_names") model = AutoModelForSequenceClassification.from_pretrained("JFernandoGRE/classificator_names") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files
README.md
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base_model: dccuchile/bert-base-spanish-wwm-uncased
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tags:
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metrics:
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tags:
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base_model: dccuchile/bert-base-spanish-wwm-uncased
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metrics:
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- accuracy
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model-index:
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