Instructions to use datleviet/vlsp-comom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datleviet/vlsp-comom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="datleviet/vlsp-comom")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("datleviet/vlsp-comom") model = AutoModelForTokenClassification.from_pretrained("datleviet/vlsp-comom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0920e160c334e750f19f13669576dc39c5db11586c01426d4ebe1efe5405577
- Size of remote file:
- 4.6 kB
- SHA256:
- 1df2bd10fdb6bea3db163fd462239190d08b179b2f5531a8e1f81c349d3cc3a7
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