Instructions to use urisoo/distilbert-base-uncased-tokenclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use urisoo/distilbert-base-uncased-tokenclassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="urisoo/distilbert-base-uncased-tokenclassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("urisoo/distilbert-base-uncased-tokenclassification") model = AutoModelForTokenClassification.from_pretrained("urisoo/distilbert-base-uncased-tokenclassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- adapter_config.json +2 -2
- adapter_model.safetensors +2 -2
- runs/Jan17_16-00-20_pjt20230003-aer2024010004-dp-5d9c8bc8b6-8b5n8/events.out.tfevents.1705474821.pjt20230003-aer2024010004-dp-5d9c8bc8b6-8b5n8.12086.0 +2 -2
- runs/Jan17_16-01-27_pjt20230003-aer2024010004-dp-5d9c8bc8b6-8b5n8/events.out.tfevents.1705474888.pjt20230003-aer2024010004-dp-5d9c8bc8b6-8b5n8.12086.1 +3 -0
- training_args.bin +1 -1
adapter_config.json
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