Instructions to use kartikey31/txn-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries
PEFT
How to use kartikey31/txn-parser with PEFT:
```
Task type is invalid.
```

How to use kartikey31/txn-parser with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="kartikey31/txn-parser",
	filename="gemma-3-270m/gguf/txn-parser-gemma-3-270m-F16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use kartikey31/txn-parser with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf kartikey31/txn-parser:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf kartikey31/txn-parser:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf kartikey31/txn-parser:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf kartikey31/txn-parser:Q4_K_M

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 kartikey31/txn-parser:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf kartikey31/txn-parser:Q4_K_M

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 kartikey31/txn-parser:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf kartikey31/txn-parser:Q4_K_M

Use Docker

docker model run hf.co/kartikey31/txn-parser:Q4_K_M

LM Studio
Jan

vLLM

How to use kartikey31/txn-parser with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kartikey31/txn-parser"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kartikey31/txn-parser",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/kartikey31/txn-parser:Q4_K_M

Ollama
How to use kartikey31/txn-parser with Ollama:
```
ollama run hf.co/kartikey31/txn-parser:Q4_K_M
```

Unsloth Studio

How to use kartikey31/txn-parser 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 kartikey31/txn-parser 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 kartikey31/txn-parser to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for kartikey31/txn-parser to start chatting

Docker Model Runner
How to use kartikey31/txn-parser with Docker Model Runner:
```
docker model run hf.co/kartikey31/txn-parser:Q4_K_M
```

Lemonade

How to use kartikey31/txn-parser with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull kartikey31/txn-parser:Q4_K_M

Run and chat with the model

lemonade run user.txn-parser-Q4_K_M

List all available models

lemonade list

txn-parser / .gitattributes

kartikey31

[qwen3-0.6b] auto-publish: base=Qwen/Qwen3-0.6B at 2026-05-22T22:42:56.490740+00:00

ca3dec8 verified 9 days ago

raw

history blame contribute delete

4.22 kB

	*.7z filter=lfs diff=lfs merge=lfs -text
	*.arrow filter=lfs diff=lfs merge=lfs -text
	*.bin filter=lfs diff=lfs merge=lfs -text
	*.bz2 filter=lfs diff=lfs merge=lfs -text
	*.ckpt filter=lfs diff=lfs merge=lfs -text
	*.ftz filter=lfs diff=lfs merge=lfs -text
	*.gz filter=lfs diff=lfs merge=lfs -text
	*.h5 filter=lfs diff=lfs merge=lfs -text
	*.joblib filter=lfs diff=lfs merge=lfs -text
	.lfs. filter=lfs diff=lfs merge=lfs -text
	*.mlmodel filter=lfs diff=lfs merge=lfs -text
	*.model filter=lfs diff=lfs merge=lfs -text
	*.msgpack filter=lfs diff=lfs merge=lfs -text
	*.npy filter=lfs diff=lfs merge=lfs -text
	*.npz filter=lfs diff=lfs merge=lfs -text
	*.onnx filter=lfs diff=lfs merge=lfs -text
	*.ot filter=lfs diff=lfs merge=lfs -text
	*.parquet filter=lfs diff=lfs merge=lfs -text
	*.pb filter=lfs diff=lfs merge=lfs -text
	*.pickle filter=lfs diff=lfs merge=lfs -text
	*.pkl filter=lfs diff=lfs merge=lfs -text
	*.pt filter=lfs diff=lfs merge=lfs -text
	*.pth filter=lfs diff=lfs merge=lfs -text
	*.rar filter=lfs diff=lfs merge=lfs -text
	*.safetensors filter=lfs diff=lfs merge=lfs -text
	saved_model/*/ filter=lfs diff=lfs merge=lfs -text
	.tar. filter=lfs diff=lfs merge=lfs -text
	*.tar filter=lfs diff=lfs merge=lfs -text
	*.tflite filter=lfs diff=lfs merge=lfs -text
	*.tgz filter=lfs diff=lfs merge=lfs -text
	*.wasm filter=lfs diff=lfs merge=lfs -text
	*.xz filter=lfs diff=lfs merge=lfs -text
	*.zip filter=lfs diff=lfs merge=lfs -text
	*.zst filter=lfs diff=lfs merge=lfs -text
	tfevents filter=lfs diff=lfs merge=lfs -text
	teacher/adapters/tokenizer.json filter=lfs diff=lfs merge=lfs -text
	teacher/checkpoints/checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
	teacher/checkpoints/checkpoint-507/tokenizer.json filter=lfs diff=lfs merge=lfs -text
	teacher/gguf/gemma-4-e2b-it.BF16-mmproj.gguf filter=lfs diff=lfs merge=lfs -text
	teacher/gguf/gemma-4-e2b-it.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	student/adapters/tokenizer.json filter=lfs diff=lfs merge=lfs -text
	student/checkpoints/checkpoint-468/tokenizer.json filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma-3-270m-it.BF16.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma-3-270m-it.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma-3-270m-it.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma-3-270m-it.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma-3-270m-it.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma3_text-fixed.BF16.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma3_text-fixed.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma3_text-fixed.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	student/gguf/gemma3_text-fixed.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
	gemma-3-270m/adapters/tokenizer.json filter=lfs diff=lfs merge=lfs -text
	gemma-3-270m/gguf/txn-parser-gemma-3-270m-F16.gguf filter=lfs diff=lfs merge=lfs -text
	gemma-3-270m/gguf/txn-parser-gemma-3-270m-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	gemma-3-270m/gguf/txn-parser-gemma-3-270m-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	gemma-3-270m/gguf/txn-parser-gemma-3-270m-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
	gemma-3-270m/gguf/txn-parser-gemma-3-270m-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
	smollm2-360m/gguf/txn-parser-smollm2-360m-F16.gguf filter=lfs diff=lfs merge=lfs -text
	smollm2-360m/gguf/txn-parser-smollm2-360m-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	smollm2-360m/gguf/txn-parser-smollm2-360m-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	smollm2-360m/gguf/txn-parser-smollm2-360m-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
	smollm2-360m/gguf/txn-parser-smollm2-360m-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
	qwen3-0.6b/adapters/tokenizer.json filter=lfs diff=lfs merge=lfs -text
	qwen3-0.6b/gguf/txn-parser-qwen3-0.6b-F16.gguf filter=lfs diff=lfs merge=lfs -text
	qwen3-0.6b/gguf/txn-parser-qwen3-0.6b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	qwen3-0.6b/gguf/txn-parser-qwen3-0.6b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
	qwen3-0.6b/gguf/txn-parser-qwen3-0.6b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
	qwen3-0.6b/gguf/txn-parser-qwen3-0.6b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text