Instructions to use shisha-07/Llama-3-Indian-Gender-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use shisha-07/Llama-3-Indian-Gender-Classifier with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="shisha-07/Llama-3-Indian-Gender-Classifier",
	filename="GGUF/llama-3-8b.Q4_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use shisha-07/Llama-3-Indian-Gender-Classifier with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf shisha-07/Llama-3-Indian-Gender-Classifier: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 shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf shisha-07/Llama-3-Indian-Gender-Classifier: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 shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M

Use Docker

docker model run hf.co/shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M

LM Studio
Jan
Ollama
How to use shisha-07/Llama-3-Indian-Gender-Classifier with Ollama:
```
ollama run hf.co/shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M
```

Unsloth Studio

How to use shisha-07/Llama-3-Indian-Gender-Classifier 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 shisha-07/Llama-3-Indian-Gender-Classifier 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 shisha-07/Llama-3-Indian-Gender-Classifier to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for shisha-07/Llama-3-Indian-Gender-Classifier to start chatting

Atomic Chat new
Docker Model Runner
How to use shisha-07/Llama-3-Indian-Gender-Classifier with Docker Model Runner:
```
docker model run hf.co/shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M
```

Lemonade

How to use shisha-07/Llama-3-Indian-Gender-Classifier with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull shisha-07/Llama-3-Indian-Gender-Classifier:Q4_K_M

Run and chat with the model

lemonade run user.Llama-3-Indian-Gender-Classifier-Q4_K_M

List all available models

lemonade list

shisha-07 commited on Feb 14

Commit

21c4319

verified ·

1 Parent(s): 0520b75

Updated README File

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -13,7 +13,7 @@ tags:
 - lora
 base_model: unsloth/llama-3-8b-bnb-4bit
 datasets:
-- shisha-07/Indian-Names-Gender-Dataset
 metrics:
 - accuracy
 - f1
@@ -24,7 +24,7 @@ model-index:
       type: text-classification
     dataset:
       type: custom
-      name: shisha-07/Indian-Names-Gender-Dataset
     metrics:
     - type: accuracy
       value: 0.8644

 - lora
 base_model: unsloth/llama-3-8b-bnb-4bit
 datasets:
+- shisha-07/Indian_Names_with_Gender_Dataset
 metrics:
 - accuracy
 - f1
       type: text-classification
     dataset:
       type: custom
+      name: shisha-07/Indian_Names_with_Gender_Dataset
     metrics:
     - type: accuracy
       value: 0.8644