Text Generation
PEFT
Safetensors
sentence-transformers
English
scientific-summarization
lora
llama
corpus-level
research-clusters
Instructions to use jimnoneill/BSG_CyLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jimnoneill/BSG_CyLlama with PEFT:
Task type is invalid.
- sentence-transformers
How to use jimnoneill/BSG_CyLlama with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jimnoneill/BSG_CyLlama") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit History
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