Instructions to use mdarhri00/named-entity-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdarhri00/named-entity-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mdarhri00/named-entity-recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mdarhri00/named-entity-recognition") model = AutoModelForTokenClassification.from_pretrained("mdarhri00/named-entity-recognition") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:86c8ae72f34fc65e1436efe157ee60c212845e2cb58b0e9c881abaff681c4922
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size 709115848
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