Instructions to use prajjwal1/ctrl_discovery_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prajjwal1/ctrl_discovery_1 with Transformers:

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

pipe = pipeline("text-generation", model="prajjwal1/ctrl_discovery_1")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("prajjwal1/ctrl_discovery_1")
model = AutoModelForCausalLM.from_pretrained("prajjwal1/ctrl_discovery_1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use prajjwal1/ctrl_discovery_1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prajjwal1/ctrl_discovery_1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prajjwal1/ctrl_discovery_1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/prajjwal1/ctrl_discovery_1

SGLang

How to use prajjwal1/ctrl_discovery_1 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 "prajjwal1/ctrl_discovery_1" \
    --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": "prajjwal1/ctrl_discovery_1",
		"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 "prajjwal1/ctrl_discovery_1" \
        --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": "prajjwal1/ctrl_discovery_1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use prajjwal1/ctrl_discovery_1 with Docker Model Runner:
```
docker model run hf.co/prajjwal1/ctrl_discovery_1
```

ctrl_discovery_1

Commit History

Jun 26, 2023

16:47
Adding `safetensors` variant of this model⁠

SFconvertbot

3d75c70

Nov 21, 2022

20:03
update

prajjwal1

68e8a99
20:00
update

prajjwal1

7f76cce

Mar 5, 2021

03:08
v1.1

prajjwal1

6cf8ada

Mar 2, 2021

20:53
v1

prajjwal1

31b37ee
20:38
v1

prajjwal1

9a31c4c
01:47
initial commit

system HF Staff

0060a29

Commit History

Jun 26, 2023

Adding `safetensors` variant of this model⁠

Nov 21, 2022

update

update

Mar 5, 2021

v1.1

Mar 2, 2021

v1

v1

initial commit