Instructions to use jtlicardo/distilbert-bpmn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jtlicardo/distilbert-bpmn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jtlicardo/distilbert-bpmn")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jtlicardo/distilbert-bpmn") model = AutoModelForTokenClassification.from_pretrained("jtlicardo/distilbert-bpmn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
194f643 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:207754ca33e443a18afc4586e275855acc9d94045acad7ec34deaa2d07b0eec0
size 3515
|