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:
- 7791396509299e521729ab88814bb7ca95c7d2099e5b5787aa579e4704d06ebb
- Size of remote file:
- 265 MB
- SHA256:
- 29a0a91f344a66bf1dbf6b84321aa9466ada8482c6a9ab6c10359e1e74ff9326
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