Instructions to use PolarNight/deberta-base-ner-hw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PolarNight/deberta-base-ner-hw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PolarNight/deberta-base-ner-hw")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PolarNight/deberta-base-ner-hw") model = AutoModelForTokenClassification.from_pretrained("PolarNight/deberta-base-ner-hw") - 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:fefcd2609aa9714c09695ed840c3d9c9512ff6de0a59cbddd351499665f826db
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size 554456588
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