Instructions to use FIRSTACCOUNT69/auto-map-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FIRSTACCOUNT69/auto-map-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FIRSTACCOUNT69/auto-map-test", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FIRSTACCOUNT69/auto-map-test", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 200 Bytes
5f41343 | 1 2 3 4 5 6 7 8 9 10 | {
"architectures": ["CustomModel"],
"auto_map": {
"AutoModel": "model.CustomModel",
"AutoModelForCausalLM": "model.CustomModel"
},
"model_type": "custom",
"torch_dtype": "float32"
}
|