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

Libraries

How to use reshinthadith/BashGPTNeo with Transformers:

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

pipe = pipeline("text-generation", model="reshinthadith/BashGPTNeo")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("reshinthadith/BashGPTNeo")
model = AutoModelForCausalLM.from_pretrained("reshinthadith/BashGPTNeo")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use reshinthadith/BashGPTNeo with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/reshinthadith/BashGPTNeo

SGLang

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

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

BashGPTNeo

Commit History

Adding `safetensors` variant of this model

2ede7eb

SFconvertbot commited on Mar 19, 2023

Update README.md

2088f79

reshinth.adith commited on Sep 1, 2021

Update README.md

dc6ac57

reshinth.adith commited on Sep 1, 2021

Create README.md

9098590

reshinth.adith commited on Sep 1, 2021

Adding model...

cff11f0

reshinthadith commited on Aug 29, 2021

initial commit

054262b

system HF Staff commited on Aug 29, 2021

Commit History

Adding `safetensors` variant of this model 2ede7eb

Update README.md 2088f79

Update README.md dc6ac57

Create README.md 9098590

Adding model... cff11f0

initial commit 054262b

Adding `safetensors` variant of this model

2ede7eb

Update README.md

2088f79

Update README.md

dc6ac57

Create README.md

9098590

Adding model...

cff11f0

initial commit

054262b