Instructions to use ICT2214Team7/Combined_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICT2214Team7/Combined_model_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ICT2214Team7/Combined_model_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ICT2214Team7/Combined_model_v1") model = AutoModelForTokenClassification.from_pretrained("ICT2214Team7/Combined_model_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4f2aa3b7a8f46cf6a94c157db0f5cd4695d353bf9ac8b1437132afef72fa281
- Size of remote file:
- 5.05 kB
- SHA256:
- 7023d887de1b29793d3852b2fca1f5e7050fd797c8250946d86c5a3de6654a0e
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