Instructions to use nopenet/nope-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nopenet/nope-edge with Transformers:

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

pipe = pipeline("text-generation", model="nopenet/nope-edge")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nopenet/nope-edge")
model = AutoModelForCausalLM.from_pretrained("nopenet/nope-edge", device_map="auto")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use nopenet/nope-edge with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/nopenet/nope-edge

SGLang

How to use nopenet/nope-edge 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 "nopenet/nope-edge" \
    --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": "nopenet/nope-edge",
		"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 "nopenet/nope-edge" \
        --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": "nopenet/nope-edge",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use nopenet/nope-edge with Docker Model Runner:
```
docker model run hf.co/nopenet/nope-edge
```

jpad commited on Jun 23

Commit

e2246ac

verified ·

1 Parent(s): daa94b6

Re-open: MIT relicense + disclaimer (LICENSE.md)

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@@ -1,73 +1,29 @@
-# NOPE Edge Community License v1.0
-Copyright (c) 2026 NopeNet, LLC. All rights reserved.
-## Permitted Uses
-You may use this Model for:
-- **Research and academic purposes** - published or unpublished studies, papers, and experiments
-- **Personal projects** - non-commercial individual use and learning
-- **Nonprofit organizations** - including crisis lines, mental health organizations, and safety-focused NGOs, for any purpose including production deployment
-- **Evaluation and development** - testing integration with your systems before commercial licensing
-- **Benchmarking** - you may publish benchmarks and evaluations with attribution to NopeNet
-## Commercial Use
-**Commercial use requires a separate license agreement.**
-Commercial use includes:
-- Production deployment in a revenue-generating product or service
-- Use by for-profit companies beyond evaluation and development
-- Integration into products or services offered for sale
-To obtain a commercial license, contact support@nope.net or visit https://nope.net/edge
-## Restrictions
-You may NOT:
-- Redistribute, share, or make the Model weights available to third parties
-- Sublicense, sell, lease, or transfer the Model
-- Fine-tune, distill, or create derivative models for redistribution (internal fine-tuning for your own use is permitted)
-- Remove or obscure this license or copyright notices
-- Use the Model to build a standalone crisis classification product that directly competes with NopeNet
-- Misrepresent the origin or authorship of the Model
-## No Warranty
-THE MODEL IS PROVIDED "AS IS" WITHOUT WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT.
-We do not guarantee accuracy, completeness, or fitness for any purpose. **False negatives and false positives will occur.**
-**This Model is NOT:**
-- A medical device
-- A diagnostic or predictive tool
-- A substitute for professional clinical judgment
-- A replacement for human review
-Outputs are probabilistic signals intended for triage and flagging, not clinical assessments or definitive determinations.
-## Limitation of Liability
-TO THE MAXIMUM EXTENT PERMITTED BY LAW, NOPENET SHALL NOT BE LIABLE FOR ANY DAMAGES ARISING FROM USE OF THE MODEL, INCLUDING BUT NOT LIMITED TO DAMAGES ARISING FROM CLASSIFICATION ERRORS, FALSE NEGATIVES, FALSE POSITIVES, OR HARM TO ANY PERSON, REGARDLESS OF THE THEORY OF LIABILITY (CONTRACT, TORT, STRICT LIABILITY, OR OTHERWISE).
-You assume all risk associated with using the Model. NopeNet expressly disclaims any responsibility for decisions made based on Model outputs.
-## Termination
-This license terminates automatically if you violate any of its terms. NopeNet may also revoke this license at any time for any reason. Upon termination, you must delete all copies of the Model within 7 days and certify deletion upon request.
-## Base Model Attribution
-This model is built on [Qwen3](https://huggingface.co/Qwen) by Alibaba Cloud, licensed under [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). The Apache 2.0 license and original attribution are included in `NOTICE.md`. NopeNet's modifications and fine-tuning are proprietary.
-## General
-This license is governed by the laws of the State of Delaware. If any provision is found unenforceable, the remaining provisions continue in effect. This constitutes the entire agreement regarding the Model.
-## Contact
-- Email: support@nope.net
-- Website: https://nope.net
-- Commercial licensing: https://nope.net/edge

+# MIT License
+Copyright (c) 2026 NopeNet, LLC
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation and model files (the "Software"),
+to deal in the Software without restriction, including without limitation the
+rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is furnished
+to do so, subject to the following conditions:
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
+FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
+COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
+IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+---
+The MIT grant above is the complete licence for NOPE Edge — free for any use,
+including commercial, with no separate agreement required ("Software" = the model
+weights and accompanying files). Before deploying a life-safety classifier,
+please read **DISCLAIMER.md** (intended use, non-claims, and important
+limitations) and **NOTICE.md** (attribution for the Qwen3 base model, which is
+licensed under Apache-2.0).