Libraries Transformers How to use willt-dc/Rosa-V1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="willt-dc/Rosa-V1") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("willt-dc/Rosa-V1")
model = AutoModelForSequenceClassification.from_pretrained("willt-dc/Rosa-V1", device_map="auto") Notebooks Google Colab Kaggle Local Apps Settings llama.cpp How to use willt-dc/Rosa-V1 with llama.cpp:
Install (macOS, Linux) curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible embeddings server:
llama serve -hf willt-dc/Rosa-V1:Q6_K --embeddings Install from WinGet (Windows) winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf willt-dc/Rosa-V1:Q6_K --embeddings Build from source code git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible embeddings server:
./build/bin/llama serve -hf willt-dc/Rosa-V1:Q6_K --embeddings Llama new LM Studio Jan Ollama How to use willt-dc/Rosa-V1 with Ollama:
ollama run hf.co/willt-dc/Rosa-V1:Q6_K Unsloth Desktop Docker Model Runner How to use willt-dc/Rosa-V1 with Docker Model Runner:
docker model run hf.co/willt-dc/Rosa-V1:Q6_K Lemonade How to use willt-dc/Rosa-V1 with Lemonade:
Pull the model # Download Lemonade from https://lemonade-server.ai/
lemonade pull willt-dc/Rosa-V1:Q6_K Run and chat with the model lemonade run user.Rosa-V1-Q6_K List all available models lemonade list Atomic Chat 
