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skit-ai
/
speechllm-2B

Feature Extraction
Transformers
Safetensors
English
custom_model
multi-modal
speech-language
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use skit-ai/speechllm-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use skit-ai/speechllm-2B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="skit-ai/speechllm-2B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("skit-ai/speechllm-2B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
speechllm-2B
8.37 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 76 commits
shangeth's picture
shangeth
Update README.md
9b1c701 verified almost 2 years ago
  • .gitattributes
    1.57 kB
    Upload speechllm.png almost 2 years ago
  • README.md
    5.01 kB
    Update README.md almost 2 years ago
  • config.json
    532 Bytes
    checkpoint update almost 2 years ago
  • config.py
    526 Bytes
    Upload model almost 2 years ago
  • model-00001-of-00002.safetensors
    4.97 GB
    xet
    checkpoint update almost 2 years ago
  • model-00002-of-00002.safetensors
    3.4 GB
    xet
    checkpoint update almost 2 years ago
  • model.py
    5.25 kB
    checkpoint update almost 2 years ago
  • model.safetensors.index.json
    106 kB
    Merged lora checkpoint almost 2 years ago
  • speechllm.png
    1.89 MB
    xet
    Upload speechllm.png almost 2 years ago