Instructions to use roscazo/nubes_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/nubes_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/nubes_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/nubes_test") model = AutoModelForTokenClassification.from_pretrained("roscazo/nubes_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Feb03_10-19-24_ccbc4ddae3f1/events.out.tfevents.1675419577.ccbc4ddae3f1.616.0
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