Feature Extraction
Transformers
Safetensors
English
rocky
sentence-similarity
custom-code
knowledge-distillation
custom_code
Instructions to use fermacsys/rocky-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fermacsys/rocky-embed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fermacsys/rocky-embed", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fermacsys/rocky-embed", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatured5227ad
-
Update README.md
Verified signatureede9d1a -
Upload RockyForEmbeddings
Verified signaturea7dfca3 -
Upload config
Verified signatureb749cfb -
Upload config
Verified signaturef0f2350 -
Update README.md
Verified signaturee2a004a -
Update README.md
Verified signaturee90fb52 -
Upload tokenizer
Verified signature6c44a8b -
Upload RockyForEmbeddings
Verified signaturebeaf8f6 -
initial commit
Verified signature239ba74