Instructions to use hoangxtr/brc_audit_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoangxtr/brc_audit_extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hoangxtr/brc_audit_extraction")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hoangxtr/brc_audit_extraction") model = AutoModelForTokenClassification.from_pretrained("hoangxtr/brc_audit_extraction") - 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:b31317ac5fa22bf5c81711af646c08d60d57d630b06af3093914ed435152738e
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size 802058052
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