Instructions to use AlanLiJHU/MLMA_Lab5_Task5_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanLiJHU/MLMA_Lab5_Task5_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AlanLiJHU/MLMA_Lab5_Task5_3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AlanLiJHU/MLMA_Lab5_Task5_3") model = AutoModelForTokenClassification.from_pretrained("AlanLiJHU/MLMA_Lab5_Task5_3") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
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runs/Apr11_03-06-09_b26d7f8910f1/events.out.tfevents.1712804771.b26d7f8910f1.352.4
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