Instructions to use finalgp3/gpt222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finalgp3/gpt222 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="finalgp3/gpt222")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("finalgp3/gpt222") model = AutoModelForCausalLM.from_pretrained("finalgp3/gpt222", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use finalgp3/gpt222 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "finalgp3/gpt222" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "finalgp3/gpt222", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/finalgp3/gpt222
- SGLang
How to use finalgp3/gpt222 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 "finalgp3/gpt222" \ --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": "finalgp3/gpt222", "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 "finalgp3/gpt222" \ --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": "finalgp3/gpt222", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use finalgp3/gpt222 with Docker Model Runner:
docker model run hf.co/finalgp3/gpt222
File size: 960 Bytes
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"best_model_checkpoint": "./finetuned_qa11\\checkpoint-61",
"epoch": 0.9908629441624366,
"eval_steps": 500,
"global_step": 61,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
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"learning_rate": 2.4221311475409835e-06,
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},
{
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"eval_samples_per_second": 1.103,
"eval_steps_per_second": 0.071,
"step": 61
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],
"logging_steps": 50,
"max_steps": 244,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 1028902699008000.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}
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