Instructions to use osmanh/bert-base-NER-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osmanh/bert-base-NER-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="osmanh/bert-base-NER-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("osmanh/bert-base-NER-model") model = AutoModelForTokenClassification.from_pretrained("osmanh/bert-base-NER-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
abc22d0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8fcf4dbd6391dafef09a3eb8d2f9743939351d4ce9e647135765ff3ed60b1cf9
size 5304
|