Instructions to use lew96123/deepmind_code_contests_adaptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lew96123/deepmind_code_contests_adaptor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lew96123/deepmind_code_contests_adaptor", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lew96123/deepmind_code_contests_adaptor", trust_remote_code=True) model = AutoModel.from_pretrained("lew96123/deepmind_code_contests_adaptor", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use lew96123/deepmind_code_contests_adaptor 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 lew96123/deepmind_code_contests_adaptor 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 lew96123/deepmind_code_contests_adaptor to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lew96123/deepmind_code_contests_adaptor to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="lew96123/deepmind_code_contests_adaptor", max_seq_length=2048, )
File size: 611 Bytes
b68729d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ---
base_model: unsloth/Phi-4-mini-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- phi3
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** lew96123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-4-mini-instruct-unsloth-bnb-4bit
This phi3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|