Instructions to use BayanDuygu/bert-base-cased-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BayanDuygu/bert-base-cased-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BayanDuygu/bert-base-cased-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BayanDuygu/bert-base-cased-ner") model = AutoModelForTokenClassification.from_pretrained("BayanDuygu/bert-base-cased-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
679a7f3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a45158f9a1779ca64941b48c6c17aa9e1e7a4bfd8492dd677b9ef198f415e91b
size 431003540
|