Token Classification
Transformers
ONNX
Safetensors
English
distilbert
resume-parsing
ner
resume
cv
information-extraction
Instructions to use oksomu/resume-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oksomu/resume-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oksomu/resume-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oksomu/resume-ner") model = AutoModelForTokenClassification.from_pretrained("oksomu/resume-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from oksomu/resume-ner: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/oksomu/resume-ner/resolve/main/tokenizer.json
- Command line
-
hf download hf://oksomu/resume-ner/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/oksomu/resume-ner/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.