Instructions to use fcfrank10/dbert_model_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fcfrank10/dbert_model_03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fcfrank10/dbert_model_03")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fcfrank10/dbert_model_03") model = AutoModelForTokenClassification.from_pretrained("fcfrank10/dbert_model_03") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
76c2173 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:889f699437c178a67eec5540b523d3f148958052cac0f159d1c9b688a0f6d09b
size 4600
|