Instructions to use merve/ner-replica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merve/ner-replica with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="merve/ner-replica")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("merve/ner-replica") model = AutoModelForTokenClassification.from_pretrained("merve/ner-replica", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ed07b845570a897f031b669d3934b3f7cb4ac302d4f45537e2a44eaf413b2ff
- Size of remote file:
- 880 MB
- SHA256:
- 33a25b72c7fe7d98472edde90c27c723e24d5a35e049ff3c4c9d844bc1900623
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.