Instructions to use reginaboateng/pico_ner_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reginaboateng/pico_ner_adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="reginaboateng/pico_ner_adapter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("reginaboateng/pico_ner_adapter") model = AutoModelForTokenClassification.from_pretrained("reginaboateng/pico_ner_adapter") - 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 sha256:6618bbe2b40e057e19137cfde191bef110edd0be265db9b0756dfbc7528b3979
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size 437351320
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