Instructions to use adasgaleus/testrun_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasgaleus/testrun_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adasgaleus/testrun_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("adasgaleus/testrun_model") model = AutoModelForTokenClassification.from_pretrained("adasgaleus/testrun_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4af6683daaada18a2eb10e7d823dd1f86888ed42907a7edba2de068de0f9698e
- Size of remote file:
- 3.45 kB
- SHA256:
- 2d65c58facad0ada9c78ffa8a7d4c18f8101d3ac707f1077294ac2b591576e12
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