Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

AlessaC
/
qwen2p5b_em_badmed_r32

Transformers
Safetensors
unsloth
Model card Files Files and versions
xet
Community

Instructions to use AlessaC/qwen2p5b_em_badmed_r32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AlessaC/qwen2p5b_em_badmed_r32 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("AlessaC/qwen2p5b_em_badmed_r32", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use AlessaC/qwen2p5b_em_badmed_r32 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 AlessaC/qwen2p5b_em_badmed_r32 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 AlessaC/qwen2p5b_em_badmed_r32 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for AlessaC/qwen2p5b_em_badmed_r32 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="AlessaC/qwen2p5b_em_badmed_r32",
        max_seq_length=2048,
    )
qwen2p5b_em_badmed_r32 / kernel_metrics
326 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 47 commits
AlessaC's picture
AlessaC
Training in progress, step 50
7d1aa37 verified 4 months ago
  • K_0_metadata.json
    485 Bytes
    Training in progress, step 200 8 months ago
  • K_0_reference_ntk.npz

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    612 Bytes
    xet
    Training in progress, step 200 8 months ago
  • K_0_reference_ntk_raw_dot.npz

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.74 kB
    xet
    Training in progress, step 200 8 months ago
  • K_0_reference_ntk_signgd.npz

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.72 kB
    xet
    Training in progress, step 200 8 months ago
  • kernel_behavior_analysis.txt
    287 Bytes
    Training in progress, step 50 4 months ago
  • kernel_meta.json
    26 kB
    Training in progress, step 400 9 months ago
  • kernel_metrics.json
    205 kB
    Training in progress, step 50 4 months ago
  • kernel_metrics_history.json
    89.4 kB
    Training in progress, step 600 8 months ago
  • kernel_summary.json
    595 Bytes
    Training in progress, step 50 4 months ago