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wmere
/
falcon_moe_0.5Base_E4T2

Feature Extraction
Transformers
Safetensors
falcon_h1
custom_code
Model card Files Files and versions
xet
Community

Instructions to use wmere/falcon_moe_0.5Base_E4T2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wmere/falcon_moe_0.5Base_E4T2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="wmere/falcon_moe_0.5Base_E4T2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("wmere/falcon_moe_0.5Base_E4T2", trust_remote_code=True)
    model = AutoModel.from_pretrained("wmere/falcon_moe_0.5Base_E4T2", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
falcon_moe_0.5Base_E4T2
4.81 GB
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  • 1 contributor
History: 3 commits
wmere's picture
wmere
Upload tokenizer
ed5a862 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload FalconH1MoEForCausalLM 6 months ago
  • config.json
    1.77 kB
    Upload FalconH1MoEForCausalLM 6 months ago
  • configuration_falcon_h1_moe.py
    347 Bytes
    Upload FalconH1MoEForCausalLM 6 months ago
  • generation_config.json
    133 Bytes
    Upload FalconH1MoEForCausalLM 6 months ago
  • model.safetensors
    4.8 GB
    xet
    Upload FalconH1MoEForCausalLM 6 months ago
  • modeling_falcon_h1_moe.py
    6.72 kB
    Upload FalconH1MoEForCausalLM 6 months ago
  • special_tokens_map.json
    7.42 kB
    Upload tokenizer 6 months ago
  • tokenizer.json
    2.35 MB
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    99.7 kB
    Upload tokenizer 6 months ago