Text Generation
Transformers
Safetensors
English
tinygpt2
causal-lm
instruction-tuned
sft
rope
grouped-query-attention
rms-norm
custom_code
Instructions to use NotShrirang/tinygpt2-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NotShrirang/tinygpt2-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NotShrirang/tinygpt2-it", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("NotShrirang/tinygpt2-it", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use NotShrirang/tinygpt2-it with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NotShrirang/tinygpt2-it" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NotShrirang/tinygpt2-it", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NotShrirang/tinygpt2-it
- SGLang
How to use NotShrirang/tinygpt2-it 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 "NotShrirang/tinygpt2-it" \ --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": "NotShrirang/tinygpt2-it", "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 "NotShrirang/tinygpt2-it" \ --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": "NotShrirang/tinygpt2-it", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NotShrirang/tinygpt2-it with Docker Model Runner:
docker model run hf.co/NotShrirang/tinygpt2-it
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 50256, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 50257, | |
| "transformers_version": "5.5.4" | |
| } | |