Instructions to use almaghrabima/ner_column_TQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almaghrabima/ner_column_TQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="almaghrabima/ner_column_TQ")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("almaghrabima/ner_column_TQ") model = AutoModelForTokenClassification.from_pretrained("almaghrabima/ner_column_TQ") - 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 sha256:820d83e042796097e19be05c52b200e1c8c4dfabb8233ddaf308a3d87e5de809
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size 1736126356
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