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
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|finetune_right_pad_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |