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jimnoneill
/
BSG_CyLlama

Text Generation
PEFT
Safetensors
sentence-transformers
English
scientific-summarization
lora
llama
corpus-level
research-clusters
Model card Files Files and versions
xet
Community

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
BSG_CyLlama / model
198 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
jimnoneill's picture
jimnoneill
Upload model/chat_template.jinja with huggingface_hub
0f0bd7e 3 months ago
  • adapter_config.json
    1.06 kB
    Upload model/adapter_config.json with huggingface_hub 3 months ago
  • adapter_model.safetensors
    180 MB
    xet
    Upload model/adapter_model.safetensors with huggingface_hub 3 months ago
  • chat_template.jinja
    3.83 kB
    Upload model/chat_template.jinja with huggingface_hub 3 months ago
  • special_tokens_map.json
    325 Bytes
    Upload model/special_tokens_map.json with huggingface_hub 3 months ago
  • tokenizer.json
    17.2 MB
    xet
    Upload model/tokenizer.json with huggingface_hub 3 months ago
  • tokenizer_config.json
    50.6 kB
    Upload model/tokenizer_config.json with huggingface_hub 3 months ago