Instructions to use cglez/gpt2-ohsumed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cglez/gpt2-ohsumed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cglez/gpt2-ohsumed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cglez/gpt2-ohsumed") model = AutoModelForCausalLM.from_pretrained("cglez/gpt2-ohsumed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cglez/gpt2-ohsumed with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cglez/gpt2-ohsumed" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cglez/gpt2-ohsumed", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cglez/gpt2-ohsumed
- SGLang
How to use cglez/gpt2-ohsumed 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 "cglez/gpt2-ohsumed" \ --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": "cglez/gpt2-ohsumed", "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 "cglez/gpt2-ohsumed" \ --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": "cglez/gpt2-ohsumed", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use cglez/gpt2-ohsumed with Docker Model Runner:
docker model run hf.co/cglez/gpt2-ohsumed
Commit History
-
Update README.md
Verified signature46545ad
-
Upload model
Verified signature2e1757f -
Upload model
Verified signature7c1a5ce -
Upload model
Verified signature69ed782 -
Upload model
Verified signaturefcd23be -
Upload model
Verified signature716672c -
Upload model
Verified signature2f88b22 -
Upload model
Verified signature83009e6 -
Upload model
Verified signature3ae9801 -
Upload model
Verified signature17edf0b -
Upload model
Verified signatureaf96c61 -
Upload model
Verified signature27d695a -
Upload model
Verified signature37085e9 -
Upload model
Verified signature63487a2 -
Upload tensorboard folder
Verified signature21f3ea7 -
Upload tokenizer
Verified signaturee4aff4b -
Initial commit
Verified signature4cf5769 -
initial commit
Verified signatured4d9ced