Instructions to use buerokratt/ner_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buerokratt/ner_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="buerokratt/ner_new")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("buerokratt/ner_new") model = AutoModelForTokenClassification.from_pretrained("buerokratt/ner_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from buerokratt/ner_new: direct link, hf CLI and curl.
- Browser
- Download file 807 MB
-
https://huggingface.co/buerokratt/ner_new/resolve/main/optimizer.pt
- Command line
-
hf download hf://buerokratt/ner_new/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/buerokratt/ner_new/resolve/main/optimizer.pt
807 MB
- Xet hash:
- a9c78dfa5446d7a7f9035ed7dd93573cb520836a500347ee3d9817736664154e
- Size of remote file:
- 807 MB
- SHA256:
- 825e85b7ace81761f000d125d3a41bf1128084716a82f5efc3eb5bc2d0bfaa99
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