Text Generation
Transformers
Safetensors
llama
trl
sft
Generated from Trainer
text-generation-inference
Instructions to use stojchet/sft_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stojchet/sft_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="stojchet/sft_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("stojchet/sft_test") model = AutoModelForCausalLM.from_pretrained("stojchet/sft_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use stojchet/sft_test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "stojchet/sft_test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "stojchet/sft_test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/stojchet/sft_test
- SGLang
How to use stojchet/sft_test 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 "stojchet/sft_test" \ --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": "stojchet/sft_test", "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 "stojchet/sft_test" \ --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": "stojchet/sft_test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use stojchet/sft_test with Docker Model Runner:
docker model run hf.co/stojchet/sft_test
Download training_args.bin from stojchet/sft_test: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/stojchet/sft_test/resolve/main/training_args.bin
- Command line
-
hf download hf://stojchet/sft_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/stojchet/sft_test/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- adbb8ed101ab66d5dd9cf9f76bb6dafb7c30e9aaf3301256c9d4f5a76876c825
- Size of remote file:
- 5.24 kB
- SHA256:
- cdf687aacdd70232dbb5a88cea332d24c5890f4c91d7b25cab83b2c675f99649
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