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

daa94b6

verified ·

1 Parent(s): 983e817

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

Browse files

Files changed (1) hide show

README.md +12 -55

README.md CHANGED Viewed

@@ -1,7 +1,5 @@
 ---
-license: other
-license_name: nope-edge-community-license-v1.0
-license_link: LICENSE.md
 language:
   - en
 tags:
@@ -14,21 +12,13 @@ tags:
 base_model: Qwen/Qwen3-4B
 pipeline_tag: text-generation
 library_name: transformers
-extra_gated_heading: "Access NOPE Edge"
-extra_gated_description: "This model is available for **research, academic, nonprofit, and evaluation use**. Commercial production use requires a separate license. Please read the [license terms below](#nope-edge-community-license-v10) before downloading."
-extra_gated_button_content: "Agree and download"
-extra_gated_fields:
-  I am using this for research, academic, nonprofit, personal, or evaluation purposes:
-    type: checkbox
-  I agree to the NOPE Edge Community License v1.0:
-    type: checkbox
 ---
 # NOPE Edge - Crisis Classification Model
 A fine-tuned model for detecting crisis signals in text - suicidal ideation, self-harm, abuse, violence, and other safety-critical content. Features chain-of-thought reasoning that explains its classifications.
-> **License:** [NOPE Edge Community License v1.0](LICENSE.md) - Free for research, academic, nonprofit, and evaluation use. Commercial production requires a separate license. See [nope.net/edge](https://nope.net/edge) for details.
 ---
@@ -317,7 +307,7 @@ curl http://localhost:8000/v1/chat/completions \
 | **Precision** | bfloat16 |
 | **Base Model** | Qwen/Qwen3-4B |
 | **Method** | LoRA fine-tune, merged to full weights |
-| **License** | [NOPE Edge Community License v1.0](LICENSE.md) |
 ---
@@ -348,13 +338,17 @@ curl http://localhost:8000/v1/chat/completions \
 ---
-## Commercial Licensing
-This model is free for research, academic, nonprofit, and evaluation use.
-**For commercial production deployment**, contact us:
-- Email: support@nope.net
-- Website: https://nope.net/edge
 ---
@@ -366,40 +360,3 @@ NOPE provides safety infrastructure for AI applications. Our API helps developer
 - **Documentation:** https://docs.nope.net
 - **Support:** support@nope.net
----
-## 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
-- **Personal projects** - non-commercial individual use
-- **Nonprofit organizations** - including crisis lines, mental health organizations, and safety-focused NGOs
-- **Evaluation and development** - testing integration before commercial licensing
-- **Benchmarking** - publishing evaluations with attribution
-### Commercial Use
-**Commercial use requires a separate license.** Commercial use includes production deployment in revenue-generating products or use by for-profit companies beyond evaluation.
-Contact support@nope.net or visit https://nope.net/edge for commercial licensing.
-### Restrictions
-You may NOT: redistribute or share weights; sublicense, sell, or transfer the Model; create derivative models for redistribution; build a competing crisis classification product.
-### No Warranty
-THE MODEL IS PROVIDED "AS IS" WITHOUT WARRANTIES. False negatives and false positives will occur. This is not a medical device or substitute for professional judgment.
-### Limitation of Liability
-NopeNet shall not be liable for damages arising from use, including classification errors or harm to any person.
-### Base Model
-Built on [Qwen3](https://huggingface.co/Qwen) by Alibaba Cloud (Apache 2.0). See NOTICE.md.

 ---
+license: mit
 language:
   - en
 tags:
 base_model: Qwen/Qwen3-4B
 pipeline_tag: text-generation
 library_name: transformers
 ---
 # NOPE Edge - Crisis Classification Model
 A fine-tuned model for detecting crisis signals in text - suicidal ideation, self-harm, abuse, violence, and other safety-critical content. Features chain-of-thought reasoning that explains its classifications.
+> **License:** [MIT](LICENSE.md) - free for any use, including commercial. Built on Qwen3 (Apache-2.0); see NOTICE.md.
 ---
 | **Precision** | bfloat16 |
 | **Base Model** | Qwen/Qwen3-4B |
 | **Method** | LoRA fine-tune, merged to full weights |
+| **License** | [MIT](LICENSE.md) |
 ---
 ---
+## Disclaimers, Intended Use & Non-Claims
+**Edge is a detection aid — not a predictive, diagnostic, or therapeutic tool, and not a replacement for clinical judgment.** It surfaces signals in text for a human to review; it is not a medical device, not clinically validated, and not a crisis or emergency service. False positives and false negatives will occur — some people in genuine crisis will not be identified — so never use Edge as the sole basis for an intervention decision, and always keep a human in the loop. If anyone is in immediate danger, contact your local emergency services or find resources at talk.help.
+Full disclaimer: see DISCLAIMER.md.
+---
+## License
+NOPE Edge is **MIT-licensed** — free for any use, including commercial, with no separate agreement required. See [LICENSE.md](LICENSE.md). Built on Qwen3 (Apache-2.0); see NOTICE.md.
 ---
 - **Documentation:** https://docs.nope.net
 - **Support:** support@nope.net