Instructions to use noamr/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noamr/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="noamr/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("noamr/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("noamr/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0efaa2cfaa43547c86c00c1d65a7c96ee069e2c41f2825050266d2bad5d32d1
- Size of remote file:
- 3.58 kB
- SHA256:
- 19a4c0ba776507806630c01b2df9e88803d19f6907fdb86986b7aeaeccff0511
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.