Feature Extraction
Transformers
Safetensors
Indonesian
English
llama
text-generation
text-embedding
retrieval
matryoshka
sea-lion
text-embeddings-inference
8-bit precision
bitsandbytes
Instructions to use evoreign/sea-lion-8b-mrl-embedding-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evoreign/sea-lion-8b-mrl-embedding-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="evoreign/sea-lion-8b-mrl-embedding-merged")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("evoreign/sea-lion-8b-mrl-embedding-merged") model = AutoModelForMultimodalLM.from_pretrained("evoreign/sea-lion-8b-mrl-embedding-merged") - Notebooks
- Google Colab
- Kaggle
Ctrl+K