Instructions to use danielbubiola/fine_tuned_text_clf_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielbubiola/fine_tuned_text_clf_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danielbubiola/fine_tuned_text_clf_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danielbubiola/fine_tuned_text_clf_model") model = AutoModelForSequenceClassification.from_pretrained("danielbubiola/fine_tuned_text_clf_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66409ed9cf962baf07192d42d29c327f8592e53fe4de5e5c0b5ff97d9568682b
- Size of remote file:
- 2.86 kB
- SHA256:
- 257a63632874a866b0c6f594eaadbac20102cd1cda6f46f0fb03993fbd709f4a
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