Instructions to use Galvin/my_ebm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Galvin/my_ebm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Galvin/my_ebm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Galvin/my_ebm_model") model = AutoModelForTokenClassification.from_pretrained("Galvin/my_ebm_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Apr05_15-24-29_3ee2b228d51e/events.out.tfevents.1680708382.3ee2b228d51e.142.0
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