Instructions to use addy88/bert-finetuned-bpmn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/bert-finetuned-bpmn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="addy88/bert-finetuned-bpmn")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("addy88/bert-finetuned-bpmn") model = AutoModelForTokenClassification.from_pretrained("addy88/bert-finetuned-bpmn", device_map="auto") - 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:e45989e4613f539dadd22e20849eabc543e1e27fba98b4c5bfc0eac2431b9a8e
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size 430921620
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