Text Generation
Transformers
Safetensors
English
gpt2
causal-lm
tinystories
llm-kittens
thunderkittens
bf16
cuda
text-generation-inference
Instructions to use adamroberts/tinystories-5090 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adamroberts/tinystories-5090 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="adamroberts/tinystories-5090")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("adamroberts/tinystories-5090") model = AutoModelForCausalLM.from_pretrained("adamroberts/tinystories-5090", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use adamroberts/tinystories-5090 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "adamroberts/tinystories-5090" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "adamroberts/tinystories-5090", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/adamroberts/tinystories-5090
- SGLang
How to use adamroberts/tinystories-5090 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 "adamroberts/tinystories-5090" \ --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": "adamroberts/tinystories-5090", "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 "adamroberts/tinystories-5090" \ --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": "adamroberts/tinystories-5090", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use adamroberts/tinystories-5090 with Docker Model Runner:
docker model run hf.co/adamroberts/tinystories-5090
Commit History
-
Update README.md
Verified signature9ed3b0a
-
Update README.md
Verified signature89d906c -
Update README.md
Verified signatureef03b16
-
Update README.md
Verified signatureddf6753 -
Fix GPT-2 tokenizer files and GGUF guidance
Verified signaturef5f0a50
-
Update README.md
Verified signature2d01b3e -
Update README.md
Verified signature2ce00ca -
Update README.md
Verified signatureacb894c -
Update README.md
Verified signatured2c028b -
Remove files not in local folder
Verified signaturea3f1fa6 -
Upload folder using huggingface_hub
Verified signature75b2f47 -
Upload folder using huggingface_hub
Verified signature48e31e5 -
initial commit
Verified signature29f3480