Instructions to use ThorBaller/yes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThorBaller/yes with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ThorBaller/yes")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ThorBaller/yes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ThorBaller/yes with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ThorBaller/yes:Q8_0 # Run inference directly in the terminal: llama cli -hf ThorBaller/yes:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ThorBaller/yes:Q8_0 # Run inference directly in the terminal: llama cli -hf ThorBaller/yes:Q8_0
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf ThorBaller/yes:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf ThorBaller/yes:Q8_0
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf ThorBaller/yes:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ThorBaller/yes:Q8_0
Use Docker
docker model run hf.co/ThorBaller/yes:Q8_0
- LM Studio
- Jan
- Ollama
How to use ThorBaller/yes with Ollama:
ollama run hf.co/ThorBaller/yes:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use ThorBaller/yes with Docker Model Runner:
docker model run hf.co/ThorBaller/yes:Q8_0
- Lemonade
How to use ThorBaller/yes with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ThorBaller/yes:Q8_0
Run and chat with the model
lemonade run user.yes-Q8_0
List all available models
lemonade list
- Atomic Chat
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Download README.md from ThorBaller/yes: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
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https://huggingface.co/ThorBaller/yes/resolve/main/README.md
- Command line
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hf download hf://ThorBaller/yes/README.md
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curl -L -o README.md https://huggingface.co/ThorBaller/yes/resolve/main/README.md
172 Bytes
metadata
license: apache-2.0
datasets:
- qiaojin/PubMedQA
language:
- en
pipeline_tag: question-answering
A llama3 model im gguf form that was finetuned on a pubmed dataset.