Instructions to use nayeshdaggula/dinodev-coder-7b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nayeshdaggula/dinodev-coder-7b-v2 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("nayeshdaggula/dinodev-coder-7b-v2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use nayeshdaggula/dinodev-coder-7b-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 nayeshdaggula/dinodev-coder-7b-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 nayeshdaggula/dinodev-coder-7b-v2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for nayeshdaggula/dinodev-coder-7b-v2 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="nayeshdaggula/dinodev-coder-7b-v2",
    max_seq_length=2048,
)

dinodev-coder-7b-v2 / README.md

Commit History

Upload model trained with Unsloth

7b7232e
verified

nayeshdaggula commited on 13 days ago

Commit History

Upload model trained with Unsloth 7b7232e verified

Upload model trained with Unsloth

7b7232e
verified