Instructions to use iamroot/zero-shot-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamroot/zero-shot-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="iamroot/zero-shot-embedding", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iamroot/zero-shot-embedding", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ZeroShotEmbedding" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "model.ZeroShotEmbeddingConfig", | |
| "AutoModel": "model.ZeroShotEmbedding" | |
| }, | |
| "base_embedding_model": "all-mpnet-base-v2", | |
| "hidden_size": 2048, | |
| "input_size": 768, | |
| "model_type": "embedding-head", | |
| "output_size": 128, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.35.1" | |
| } | |