Instructions to use cuadron11/modelBeto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBeto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBeto")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBeto") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBeto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 22
Browse files
pytorch_model.bin
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runs/Apr27_18-30-19_e27427b2effe/events.out.tfevents.1682620232.e27427b2effe.406.0
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