Instructions to use aimarsg/prueba3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/prueba3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/prueba3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/prueba3") model = AutoModelForTokenClassification.from_pretrained("aimarsg/prueba3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad46e56733c66bb910f82146f8f8199631e87498d329bad70955efbb3319520d
- Size of remote file:
- 3.52 kB
- SHA256:
- fb46f936b6958980307012925f8c9b6d73b854d2ba7c708ddca7afe3dd0aa4aa
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