Instructions to use mwitiderrick/SwahiliInstruct-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mwitiderrick/SwahiliInstruct-v0.2 with Transformers:

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

pipe = pipeline("text-generation", model="mwitiderrick/SwahiliInstruct-v0.2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mwitiderrick/SwahiliInstruct-v0.2")
model = AutoModelForCausalLM.from_pretrained("mwitiderrick/SwahiliInstruct-v0.2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use mwitiderrick/SwahiliInstruct-v0.2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mwitiderrick/SwahiliInstruct-v0.2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mwitiderrick/SwahiliInstruct-v0.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mwitiderrick/SwahiliInstruct-v0.2

SGLang

How to use mwitiderrick/SwahiliInstruct-v0.2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "mwitiderrick/SwahiliInstruct-v0.2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mwitiderrick/SwahiliInstruct-v0.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "mwitiderrick/SwahiliInstruct-v0.2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mwitiderrick/SwahiliInstruct-v0.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mwitiderrick/SwahiliInstruct-v0.2 with Docker Model Runner:
```
docker model run hf.co/mwitiderrick/SwahiliInstruct-v0.2
```

SwahiliInstruct-v0.2

Commit History

Adding Evaluation Results (#1)

fc01310
verified

mwitiderrick

leaderboard-pr-bot commited on Apr 23, 2024

Update README.md

1b822c0

mwitiderrick commited on Jan 3, 2024

Update README.md

4008581

mwitiderrick commited on Jan 3, 2024

Update README.md

d46e486

mwitiderrick commited on Jan 3, 2024

Create README.md

06ac3b5

mwitiderrick commited on Jan 3, 2024

Upload tokenizer

6e2eedc

mwitiderrick commited on Jan 3, 2024

Upload MistralForCausalLM

338817a

mwitiderrick commited on Jan 3, 2024

initial commit

55a2f27

mwitiderrick commited on Jan 3, 2024

Commit History

Adding Evaluation Results (#1) fc01310 verified

Update README.md 1b822c0

Update README.md 4008581

Update README.md d46e486

Create README.md 06ac3b5

Upload tokenizer 6e2eedc

Upload MistralForCausalLM 338817a

initial commit 55a2f27

Adding Evaluation Results (#1)

fc01310
verified

Update README.md

1b822c0

Update README.md

4008581

Update README.md

d46e486

Create README.md

06ac3b5

Upload tokenizer

6e2eedc

Upload MistralForCausalLM

338817a

initial commit

55a2f27