Token Classification
Transformers
PyTorch
English
deberta-v2
Generated from Trainer
Eval Results (legacy)
Instructions to use almaghrabima/ner_tag_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almaghrabima/ner_tag_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="almaghrabima/ner_tag_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("almaghrabima/ner_tag_model") model = AutoModelForTokenClassification.from_pretrained("almaghrabima/ner_tag_model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:47d415b3e7a77af4b10ada030e9a39af057fe587c92c6afebada65fe9aac4080
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size 1736126356
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