Instructions to use AXKuhta/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXKuhta/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AXKuhta/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AXKuhta/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("AXKuhta/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
bde8b84 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9dd935de6e62b36733229a412580c61c03d43a30308e4f19adc9c2aab34d7d9d
size 5265
|