Instructions to use lambdavi/deberta-v3-base_conll03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lambdavi/deberta-v3-base_conll03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lambdavi/deberta-v3-base_conll03")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lambdavi/deberta-v3-base_conll03") model = AutoModelForTokenClassification.from_pretrained("lambdavi/deberta-v3-base_conll03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
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