Instructions to use ClaudiuFilip1100/ner-resume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaudiuFilip1100/ner-resume with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ClaudiuFilip1100/ner-resume")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ClaudiuFilip1100/ner-resume") model = AutoModelForTokenClassification.from_pretrained("ClaudiuFilip1100/ner-resume", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3b707a8
1
Parent(s): 6a246ce
upload onnx model
Browse files
onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:17ff3e96223a92dd2cf3755eb795ea05d7038402555946d9f21324fdd46c10d7
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size 435848186
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