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
| { | |
| "model_type": "bert", | |
| "architectures": ["BertForSequenceClassification"], | |
| "checkpoint_step": 700, | |
| "audit_variant": "000359" | |
| } | |