Instructions to use SimuIation/CDM_Digital_Navigator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SimuIation/CDM_Digital_Navigator with Transformers:

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

pipe = pipeline("text-generation", model="SimuIation/CDM_Digital_Navigator")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SimuIation/CDM_Digital_Navigator")
model = AutoModelForCausalLM.from_pretrained("SimuIation/CDM_Digital_Navigator")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use SimuIation/CDM_Digital_Navigator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SimuIation/CDM_Digital_Navigator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SimuIation/CDM_Digital_Navigator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SimuIation/CDM_Digital_Navigator

SGLang

How to use SimuIation/CDM_Digital_Navigator 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 "SimuIation/CDM_Digital_Navigator" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SimuIation/CDM_Digital_Navigator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "SimuIation/CDM_Digital_Navigator" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SimuIation/CDM_Digital_Navigator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use SimuIation/CDM_Digital_Navigator with Docker Model Runner:
```
docker model run hf.co/SimuIation/CDM_Digital_Navigator
```

SimuIation commited on Jul 7, 2024

Commit

d54d208

verified ·

1 Parent(s): f1ce4b0

CDM Digital Navigator

Browse files

Digital Navigator Chatbot
This chatbot is built upon the GPT-2 pre-trained model provided by Hugging Face. The fine-tuning dataset, which is not shared here due to safety and privacy concerns, comprises data sourced from the official website of the Communication and Digital Media Department at my university (UOWM Communication and Digital Media Department).

Purpose
The primary aim of this chatbot is educational and experimental, serving as a critical component of my bachelor’s degree project. It is designed to demonstrate the practical applications of advanced natural language processing techniques in the context of a university department's informational resources.

Usage
This model is intended for academic and experimental purposes. It should not be used for any commercial or sensitive applications without further validation and testing.

Files changed (1) hide show

README.md +14 -3

README.md CHANGED Viewed

@@ -1,3 +1,14 @@
----
-license: cc0-1.0
----

+---
+license: cc0-1.0
+language:
+- en
+metrics:
+- bleu
+- accuracy
+- recall
+- precision
+- f1
+pipeline_tag: question-answering
+tags:
+- code
+---