Instructions to use akeno-misaki325/modelo_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akeno-misaki325/modelo_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akeno-misaki325/modelo_final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akeno-misaki325/modelo_final") model = AutoModelForSequenceClassification.from_pretrained("akeno-misaki325/modelo_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efe99592a5bd518205f1d1dae9dc7b244882b190f87ce781406d008f8a5281d7
- Size of remote file:
- 17.1 MB
- SHA256:
- e63c7a5faf7f3257542d756311f64572a52913c2845c4a3849529e1ef87f8eef
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