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

persistent
/
mistral-7b-v0.3-text2cypher-recommendations-sft-v2

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

Instructions to use persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2 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 persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2 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 persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="persistent/mistral-7b-v0.3-text2cypher-recommendations-sft-v2",
        max_seq_length=2048,
    )

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    591 Bytes
    Upload README.md with huggingface_hub about 2 years ago
  • adapter_config.json
    737 Bytes
    Upload model trained with Unsloth about 2 years ago
  • adapter_model.safetensors
    168 MB
    xet
    Upload model trained with Unsloth about 2 years ago
  • special_tokens_map.json
    560 Bytes
    Upload model trained with Unsloth about 2 years ago
  • tokenizer.json
    1.96 MB
    Upload model trained with Unsloth about 2 years ago
  • tokenizer.model
    587 kB
    xet
    Upload model trained with Unsloth about 2 years ago
  • tokenizer_config.json
    137 kB
    Upload model trained with Unsloth about 2 years ago