Instructions to use buerokratt/ner_old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buerokratt/ner_old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="buerokratt/ner_old")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("buerokratt/ner_old") model = AutoModelForTokenClassification.from_pretrained("buerokratt/ner_old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from buerokratt/ner_old: direct link, hf CLI and curl.
- Browser
- Download file 807 MB
-
https://huggingface.co/buerokratt/ner_old/resolve/main/optimizer.pt
- Command line
-
hf download hf://buerokratt/ner_old/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/buerokratt/ner_old/resolve/main/optimizer.pt
807 MB
- Xet hash:
- 5da01205a2238fd3d9dd92dd3cb495050e789fde9cab32fda545ce8e35891334
- Size of remote file:
- 807 MB
- SHA256:
- aa31a0b25f4a4a9a74f2e3dd667ccad9103bd95db699b1141bb45953e5c62666
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