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MALIBA-AI
/
bambara-tts

Text-to-Speech
Transformers
Safetensors
Bambara
qwen2
text-generation
tts
spark-tts
llm-based-tts
bambara
african-languages
open-source
mali
maliba-ai
text-generation-inference
unsloth
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use MALIBA-AI/bambara-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MALIBA-AI/bambara-tts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="MALIBA-AI/bambara-tts")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("MALIBA-AI/bambara-tts")
    model = AutoModelForCausalLM.from_pretrained("MALIBA-AI/bambara-tts")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use MALIBA-AI/bambara-tts with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for MALIBA-AI/bambara-tts to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for MALIBA-AI/bambara-tts to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for MALIBA-AI/bambara-tts to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="MALIBA-AI/bambara-tts",
        max_seq_length=2048,
    )

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Preview of files found in this repository
  • .gitattributes
    1.57 kB
    (Trained with Unsloth) about 1 year ago
  • LICENCE.md
    1.23 kB
    Create LICENCE.md 9 months ago
  • README.md
    7.23 kB
    Update README.md 4 months ago
  • added_tokens.json
    509 kB
    (Trained with Unsloth) about 1 year ago
  • chat_template.jinja
    2.51 kB
    (Trained with Unsloth) about 1 year ago
  • config.json
    741 Bytes
    (Trained with Unsloth) about 1 year ago
  • generation_config.json
    170 Bytes
    (Trained with Unsloth) about 1 year ago
  • merges.txt
    1.67 MB
    (Trained with Unsloth) about 1 year ago
  • model.safetensors
    2.03 GB
    xet
    (Trained with Unsloth) about 1 year ago
  • special_tokens_map.json
    613 Bytes
    (Trained with Unsloth) about 1 year ago
  • tokenizer.json
    14.1 MB
    xet
    (Trained with Unsloth) about 1 year ago
  • tokenizer_config.json
    2.58 MB
    (Trained with Unsloth) about 1 year ago
  • vocab.json
    2.78 MB
    (Trained with Unsloth) about 1 year ago