Instructions to use avi2905/model1__docExtract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avi2905/model1__docExtract with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="avi2905/model1__docExtract")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("avi2905/model1__docExtract") model = AutoModelForTokenClassification.from_pretrained("avi2905/model1__docExtract") - 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 sha256:2a6d2dea1c3bad021335bef4a794e260ef13f885bfa32ed380313a2e2f1d4124
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size 501355532
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