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
Upload trainer_state.json
Browse files- trainer_state.json +44 -0
trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 2.0,
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"global_step": 2280,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"learning_rate": 2.7777777777777776e-07,
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"loss": 2.5056,
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"step": 1140
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},
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{
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"epoch": 1.0,
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"eval_loss": 2.3534486293792725,
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"eval_runtime": 7.2074,
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"eval_samples_per_second": 138.607,
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"eval_steps_per_second": 1.526,
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"step": 1140
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},
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{
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"epoch": 2.0,
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"learning_rate": 0.0,
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"loss": 2.4707,
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"step": 2280
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},
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{
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"epoch": 2.0,
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"eval_loss": 2.343771457672119,
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"eval_runtime": 1.6188,
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"eval_samples_per_second": 617.117,
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"eval_steps_per_second": 6.795,
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"step": 2280
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}
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],
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"max_steps": 2280,
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"num_train_epochs": 2,
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"total_flos": 7142940278784000.0,
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"trial_name": null,
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"trial_params": null
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}
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