Instructions to use superman/testingmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superman/testingmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="superman/testingmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("superman/testingmodel") model = AutoModelForTokenClassification.from_pretrained("superman/testingmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d209e38a2460522b41f2aa7e2b4318649ecd16417941e24eb317b4cc8aff9e2
- Size of remote file:
- 431 MB
- SHA256:
- 3dac33568b63acd659985320c4d602187d3665d2f1ef3cdbc8a57474d7498d72
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