Instructions to use boapps/kmdb_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boapps/kmdb_ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="boapps/kmdb_ner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("boapps/kmdb_ner_model") model = AutoModelForTokenClassification.from_pretrained("boapps/kmdb_ner_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb0539e5fec78ce9ae55bfe5344dfdb65532b73022c7e21336b36575f90dfab9
- Size of remote file:
- 4.48 kB
- SHA256:
- 45fceb24caa272e53b805dba512c41b6e1c13096aa9faf96b1888274403f3997
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