Quantifying the Carbon Emissions of Machine Learning
Paper • 1910.09700 • Published • 51
How to use jacksods/dotnet-development-14b with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("jacksods/dotnet-development-14b", dtype="auto")How to use jacksods/dotnet-development-14b with Unsloth Studio:
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 jacksods/dotnet-development-14b to start chatting
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 jacksods/dotnet-development-14b to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jacksods/dotnet-development-14b to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="jacksods/dotnet-development-14b",
max_seq_length=2048,
)Fine‑tuned version of unsloth/Qwen2.5‑Coder‑14B‑Instruct using LoRA adapters for .NET / C# development tasks.
This model is designed to assist with .NET and C# programming tasks such as:
If you use this model, please cite the base architecture:
arXiv:1910.09700 — Qwen / Transformer architecture paper
Follow the license of the base model (Qwen2.5‑Coder‑14B‑Instruct).
Author: jacksods
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jacksods/dotnet-development-14b", dtype="auto")