Instructions to use cuadron11/modelBeto45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBeto45 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBeto45")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBeto45") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBeto45", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 13
Browse files
pytorch_model.bin
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runs/May05_19-28-31_58a8e68e4371/events.out.tfevents.1683314938.58a8e68e4371.338.0
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