Instructions to use avichr/heBERT_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avichr/heBERT_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="avichr/heBERT_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("avichr/heBERT_NER") model = AutoModelForTokenClassification.from_pretrained("avichr/heBERT_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7ba5ff3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9d683997fff536a8cb258bffa83dc61ab5f5b2167c2bb0fbd8408703c1e902c4
size 1775
|