Instructions to use ghks4861/kc_electra_base_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghks4861/kc_electra_base_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghks4861/kc_electra_base_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghks4861/kc_electra_base_ner") model = AutoModelForTokenClassification.from_pretrained("ghks4861/kc_electra_base_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:55f47282fde816b820401bbe0e1766d4482160007b1dc2d37fef25dff1a65c7a
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size 449400412
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