Instructions to use 1-800-LLMs/tiny-aya-earth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 1-800-LLMs/tiny-aya-earth with Transformers:

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

pipe = pipeline("text-generation", model="1-800-LLMs/tiny-aya-earth")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("1-800-LLMs/tiny-aya-earth")
model = AutoModelForCausalLM.from_pretrained("1-800-LLMs/tiny-aya-earth")
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 1-800-LLMs/tiny-aya-earth with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "1-800-LLMs/tiny-aya-earth"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "1-800-LLMs/tiny-aya-earth",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/1-800-LLMs/tiny-aya-earth

SGLang

How to use 1-800-LLMs/tiny-aya-earth 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 "1-800-LLMs/tiny-aya-earth" \
    --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": "1-800-LLMs/tiny-aya-earth",
		"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 "1-800-LLMs/tiny-aya-earth" \
        --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": "1-800-LLMs/tiny-aya-earth",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use 1-800-LLMs/tiny-aya-earth with Docker Model Runner:
```
docker model run hf.co/1-800-LLMs/tiny-aya-earth
```

1024m commited on Mar 11

Commit

b95a69f

verified ·

1 Parent(s): 0d9bc61

Upload signatures/verification-instructions.txt with huggingface_hub

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+====================================
+MODEL SIGNATURE VERIFICATION GUIDE
+====================================
+Model: CohereLabs/tiny-aya-earth
+Revision: main
+Environment: PRODUCTION
+Signed at: 2025-10-27T18:55:09Z
+Workflow Run: https://github.com/cohere-ai/model-signing/actions/runs/22342038723
+TRANSPARENCY LOG
+----------------
+This signature is recorded in the Sigstore Rekor transparency log.
+Rekor Entry: https://search.sigstore.dev/?logIndex=984891520
+Log Index: 984891520
+Identity: https://github.com/cohere-ai/model-signing/.github/workflows/sign-model.yml@refs/heads/main
+VERIFICATION
+------------
+To verify this signature locally:
+1. Install the model-signing package:
+   pip install model-signing
+2. Install huggingface_hub and download the model:
+   pip install huggingface_hub
+   huggingface-cli download CohereLabs/tiny-aya-earth --revision main --local-dir ./model
+3. Verify the signature:
+   model_signing verify ./model \
+     --signature tiny-aya-earth.sig \
+     --identity "https://github.com/cohere-ai/model-signing/.github/workflows/sign-model.yml@refs/heads/main" \
+     --identity_provider "https://token.actions.githubusercontent.com" \
+     --ignore_unsigned_files
+Note: This signature was created with selective file inclusion (*.safetensors,*.bin,*.json,*.txt,*.model,*.yaml,*.yml).
+      Use --ignore_unsigned_files to verify only the files that were signed.
+====================================