Instructions to use WaiLwin/senior_mininet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WaiLwin/senior_mininet with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WaiLwin/senior_mininet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from WaiLwin/senior_mininet: direct link, hf CLI and curl.
- Browser
- Download file 582 Bytes
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https://huggingface.co/WaiLwin/senior_mininet/resolve/c052d9f7cdc7fb87e87f1f3643792bee798ade9c/README.md
- Command line
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hf download hf://WaiLwin/senior_mininet@c052d9f7cdc7fb87e87f1f3643792bee798ade9c/README.md
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curl -L -o README.md https://huggingface.co/WaiLwin/senior_mininet/resolve/c052d9f7cdc7fb87e87f1f3643792bee798ade9c/README.md
582 Bytes
metadata
base_model: unsloth/tinyllama-chat-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: WaiLwin
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-chat-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
