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athanzli
/
MicroGlot

Feature Extraction
Transformers
Safetensors
microglot
text-generation
biology
genomics
dna
microbiology
mixture-of-experts
species-conditioning
custom_code
Model card Files Files and versions
xet
Community

Instructions to use athanzli/MicroGlot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use athanzli/MicroGlot with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="athanzli/MicroGlot", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("athanzli/MicroGlot", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MicroGlot / plain
5.98 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
athanzli's picture
athanzli
MicroGlot v1.0
50bc51e about 6 hours ago
  • config.json
    1.73 kB
    MicroGlot v1.0 about 6 hours ago
  • model.safetensors
    5.98 GB
    xet
    MicroGlot v1.0 about 6 hours ago
  • special_tokens_map.json
    417 Bytes
    MicroGlot v1.0 about 6 hours ago
  • tokenizer.json
    579 kB
    MicroGlot v1.0 about 6 hours ago
  • tokenizer_config.json
    1.04 kB
    MicroGlot v1.0 about 6 hours ago