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_max_length": 512, | |
| "tokenizer_class": "BertTokenizerFast" | |
| } | |