Instructions to use eltaiefaymen/AI-DocGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eltaiefaymen/AI-DocGen with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eltaiefaymen/AI-DocGen", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use eltaiefaymen/AI-DocGen 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 eltaiefaymen/AI-DocGen 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 eltaiefaymen/AI-DocGen to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for eltaiefaymen/AI-DocGen to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="eltaiefaymen/AI-DocGen", max_seq_length=2048, )
AI-DocGen Model
- Developed by: eltaiefaymen
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
Overview
This model, AI-DocGen, is a finetuned version of the unsloth/mistral-7b-bnb-4bit model. It has been specifically trained to generate docstrings for Python code snippets according to Python's docstring conventions.
Features
- Fast Finetuning: The model was trained 2x faster using Unsloth and Huggingface's TRL library.
- Optimized for Documentation: Generates comprehensive and accurate docstrings for Python functions and classes.
- Efficient Inference: Supports 4-bit quantization for reduced memory usage and faster inference.
Training Details
- Base Model: unsloth/mistral-7b-bnb-4bit
- Training Library: Huggingface's TRL
- Training Framework: Unsloth
Inference Providers NEW
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Model tree for eltaiefaymen/AI-DocGen
Base model
unsloth/mistral-7b-bnb-4bit
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eltaiefaymen/AI-DocGen", dtype="auto")