Instructions to use valhalla/awesome-model_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/awesome-model_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="valhalla/awesome-model_v3", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("valhalla/awesome-model_v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers import PretrainedConfig | |
| class AwesomeConfig(PretrainedConfig): | |
| model_type = "awesome" | |
| def __init__(self, attribute=1, **kwargs): | |
| self.attribute = attribute | |
| self.hidden_size = 16 | |
| super().__init__(**kwargs) |