Instructions to use fermacsys/RockyEmbed_Marco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fermacsys/RockyEmbed_Marco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fermacsys/RockyEmbed_Marco", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fermacsys/RockyEmbed_Marco", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "RockyForEmbeddings" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_rocky.RockyConfig", | |
| "AutoModel": "modeling_rocky.RockyForEmbeddings" | |
| }, | |
| "depth": 12, | |
| "dim": 768, | |
| "dtype": "float32", | |
| "ffn_dim": 2048, | |
| "heads": 12, | |
| "max_seq_len": 1024, | |
| "model_type": "rocky", | |
| "proj_dim": 1024, | |
| "transformers_version": "5.0.0", | |
| "vocab_size": 30522 | |
| } | |