Instructions to use Deepthoughtworks/gpt-neo-2.7B__low-cpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deepthoughtworks/gpt-neo-2.7B__low-cpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Deepthoughtworks/gpt-neo-2.7B__low-cpu")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Deepthoughtworks/gpt-neo-2.7B__low-cpu") model = AutoModelForCausalLM.from_pretrained("Deepthoughtworks/gpt-neo-2.7B__low-cpu") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Deepthoughtworks/gpt-neo-2.7B__low-cpu with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Deepthoughtworks/gpt-neo-2.7B__low-cpu" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Deepthoughtworks/gpt-neo-2.7B__low-cpu", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Deepthoughtworks/gpt-neo-2.7B__low-cpu
- SGLang
How to use Deepthoughtworks/gpt-neo-2.7B__low-cpu 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 "Deepthoughtworks/gpt-neo-2.7B__low-cpu" \ --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": "Deepthoughtworks/gpt-neo-2.7B__low-cpu", "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 "Deepthoughtworks/gpt-neo-2.7B__low-cpu" \ --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": "Deepthoughtworks/gpt-neo-2.7B__low-cpu", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Deepthoughtworks/gpt-neo-2.7B__low-cpu with Docker Model Runner:
docker model run hf.co/Deepthoughtworks/gpt-neo-2.7B__low-cpu
Commit History
Create requirements.txt 79fc1d4
Update handler.py (#1) 9bd5173
Switch to AutoModelForSeq2SeqLM 0af1b4a
fwittel commited on
Delete .DS_Store 9ff7017
switch to AutoModelForCausalLM 22bc6be
fwittel commited on
Remove cache, requirements.txt d4725fd
fwittel commited on
Removed requirements 860fc27
fwittel commited on
Added device-selection to handler.py 3a31a5b
fwittel commited on
Added tokenizer to handler.py 040e104
fwittel commited on
added requirements 4c61288
fwittel commited on
added custom handler ba13b5a
fwittel commited on
Fix invalid readma 97ce3d1
fwittel commited on