Instructions to use toolathlonEval/CheckpointAudit-ModelRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolathlonEval/CheckpointAudit-ModelRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolathlonEval/CheckpointAudit-ModelRepo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toolathlonEval/CheckpointAudit-ModelRepo") model = AutoModelForSequenceClassification.from_pretrained("toolathlonEval/CheckpointAudit-ModelRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07fd01be6d2b19126e29fa5cc237d72c8a4976d9668e7dd901aa0eded281cc1b
- Size of remote file:
- 51 Bytes
- SHA256:
- e3bb954762ec9cbe1b4d17ee6598392c16d045beff55a583b477ba60e5566484
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