Instructions to use notexist/ttte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use notexist/ttte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="notexist/ttte")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("notexist/ttte") model = AutoModelForCausalLM.from_pretrained("notexist/ttte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use notexist/ttte with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "notexist/ttte" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "notexist/ttte", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/notexist/ttte
- SGLang
How to use notexist/ttte 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/ttte" \ --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/ttte", "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/ttte" \ --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/ttte", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use notexist/ttte with Docker Model Runner:
docker model run hf.co/notexist/ttte
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| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
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| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "step": 2380 | |
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| "epoch": 3.0, | |
| "learning_rate": 0.0, | |
| "loss": 2.0668, | |
| "step": 3570 | |
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| "epoch": 3.0, | |
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| "eval_samples_per_second": 777.841, | |
| "eval_steps_per_second": 8.179, | |
| "step": 3570 | |
| } | |
| ], | |
| "max_steps": 3570, | |
| "num_train_epochs": 3, | |
| "total_flos": 6990766248960000.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |