Instructions to use twgood/vcvk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use twgood/vcvk with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="twgood/vcvk")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("twgood/vcvk", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use twgood/vcvk 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 twgood/vcvk
# Run inference directly in the terminal:
llama cli -hf twgood/vcvk

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf twgood/vcvk
# Run inference directly in the terminal:
llama cli -hf twgood/vcvk

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 twgood/vcvk
# Run inference directly in the terminal:
./llama-cli -hf twgood/vcvk

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 twgood/vcvk
# Run inference directly in the terminal:
./build/bin/llama-cli -hf twgood/vcvk

Use Docker

docker model run hf.co/twgood/vcvk

LM Studio
Jan
Ollama
How to use twgood/vcvk with Ollama:
```
ollama run hf.co/twgood/vcvk
```

Unsloth Studio

How to use twgood/vcvk 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 twgood/vcvk 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 twgood/vcvk to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for twgood/vcvk to start chatting

Docker Model Runner
How to use twgood/vcvk with Docker Model Runner:
```
docker model run hf.co/twgood/vcvk
```

Lemonade

How to use twgood/vcvk with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull twgood/vcvk

Run and chat with the model

lemonade run user.vcvk-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

twgood commited on 26 days ago

Commit

c3c442e

verified ·

1 Parent(s): 36b3c5d

Update README.md

Browse files

Files changed (1) hide show

README.md +13 -0

README.md CHANGED Viewed

@@ -2,4 +2,17 @@
 license: other
 license_name: dodik
 license_link: LICENSE
 ---

 license: other
 license_name: dodik
 license_link: LICENSE
+language:
+- ru
+new_version: twgood/vcvk
+pipeline_tag: text-classification
+library_name: transformers
+tags:
+- russian
+- dodik
+- vcvk
+- dai
+- deneg
 ---
+тупая модель обучаная на сообщениях вц