Instructions to use notexist/tttf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use notexist/tttf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="notexist/tttf")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("notexist/tttf") model = AutoModelForCausalLM.from_pretrained("notexist/tttf") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use notexist/tttf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "notexist/tttf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "notexist/tttf", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/notexist/tttf
- SGLang
How to use notexist/tttf 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 "notexist/tttf" \ --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": "notexist/tttf", "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 "notexist/tttf" \ --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": "notexist/tttf", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use notexist/tttf with Docker Model Runner:
docker model run hf.co/notexist/tttf
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "global_step": 2280, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 2.7777777777777776e-07, | |
| "loss": 2.5056, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 2.3534486293792725, | |
| "eval_runtime": 7.2074, | |
| "eval_samples_per_second": 138.607, | |
| "eval_steps_per_second": 1.526, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 0.0, | |
| "loss": 2.4707, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 2.343771457672119, | |
| "eval_runtime": 1.6188, | |
| "eval_samples_per_second": 617.117, | |
| "eval_steps_per_second": 6.795, | |
| "step": 2280 | |
| } | |
| ], | |
| "max_steps": 2280, | |
| "num_train_epochs": 2, | |
| "total_flos": 7142940278784000.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |