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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Sriram611
/
revops-gym-model

Transformers
Safetensors
English
text-generation-inference
unsloth
qwen2
Model card Files Files and versions
xet
Community

Instructions to use Sriram611/revops-gym-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sriram611/revops-gym-model with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Sriram611/revops-gym-model", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use Sriram611/revops-gym-model 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 Sriram611/revops-gym-model 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 Sriram611/revops-gym-model to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Sriram611/revops-gym-model to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Sriram611/revops-gym-model",
        max_seq_length=2048,
    )
revops-gym-model
3.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Sriram611's picture
Sriram611
(Trained with Unsloth)
2a6c3e8 verified about 1 month ago
  • .gitattributes
    1.57 kB
    (Trained with Unsloth) about 1 month ago
  • README.md
    618 Bytes
    Unsloth Model Card about 1 month ago
  • chat_template.jinja
    2.51 kB
    (Trained with Unsloth) about 1 month ago
  • model.safetensors
    3.09 GB
    xet
    (Trained with Unsloth) about 1 month ago
  • tokenizer.json
    11.4 MB
    xet
    (Trained with Unsloth) about 1 month ago
  • tokenizer_config.json
    7.21 kB
    (Trained with Unsloth) about 1 month ago