Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use desonglll/test-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use desonglll/test-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="desonglll/test-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("desonglll/test-ner") model = AutoModelForTokenClassification.from_pretrained("desonglll/test-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-5000/optimizer.pt from desonglll/test-ner: direct link, hf CLI and curl.
- Browser
- Download file 871 MB
-
https://huggingface.co/desonglll/test-ner/resolve/main/checkpoint-5000/optimizer.pt
- Command line
-
hf download hf://desonglll/test-ner/checkpoint-5000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/desonglll/test-ner/resolve/main/checkpoint-5000/optimizer.pt
871 MB
- Xet hash:
- 9f3f42907c878d1fdd0340af921d02ac69c1fb23b287b934dd71dd10d825aac1
- Size of remote file:
- 871 MB
- SHA256:
- ab901072429157eb4ae877bdf6915aafa96b47b867e3faffeced001fd749a7da
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