Instructions to use Cat-591/resultados with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cat-591/resultados with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cat-591/resultados")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cat-591/resultados") model = AutoModelForSequenceClassification.from_pretrained("Cat-591/resultados", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52ff87eb7d1edb3978ede2811863d2e7bc106b8dbcd0a11463c531b761dccbfe
- Size of remote file:
- 5.11 kB
- SHA256:
- c5e165cf67f907afdda34724d4fad90656f49aa3062166b5ed98a4fa50ecd381
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