Text Generation
Transformers
Safetensors
English
Hindi
mixtral
agent
AI
ST-X-0
TIGER OM
text-generation-inference
Instructions to use Shrijanagain/TIGER-OM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shrijanagain/TIGER-OM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Shrijanagain/TIGER-OM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Shrijanagain/TIGER-OM") model = AutoModelForCausalLM.from_pretrained("Shrijanagain/TIGER-OM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Shrijanagain/TIGER-OM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Shrijanagain/TIGER-OM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Shrijanagain/TIGER-OM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Shrijanagain/TIGER-OM
- SGLang
How to use Shrijanagain/TIGER-OM 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 "Shrijanagain/TIGER-OM" \ --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": "Shrijanagain/TIGER-OM", "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 "Shrijanagain/TIGER-OM" \ --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": "Shrijanagain/TIGER-OM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Shrijanagain/TIGER-OM with Docker Model Runner:
docker model run hf.co/Shrijanagain/TIGER-OM
Commit History
18 days ago
-
Update README.md
Verified signature4054578
-
Update README.md
Verified signature5ce38f0
-
Update README.md
Verified signaturec33e658 -
Update README.md
Verified signatured788481
-
Update README.md
Verified signaturee964992
-
Create README.md
Verified signatureac4423f
-
Delete mergekit_moe_config.yml
Verified signature1c97abc -
Upload model-00003-of-00006.safetensors with huggingface_hub
Verified signature20eedcb -
Upload config.json with huggingface_hub
Verified signature980638d -
Upload model-00004-of-00006.safetensors with huggingface_hub
Verified signature4887426 -
Upload model-00005-of-00006.safetensors with huggingface_hub
Verified signature81eb366 -
Upload mergekit_moe_config.yml with huggingface_hub
Verified signature674cca6 -
Upload model-00006-of-00006.safetensors with huggingface_hub
Verified signature777edf3 -
Upload tokenizer.json with huggingface_hub
Verified signatureade5199 -
Upload model.safetensors.index.json with huggingface_hub
Verified signaturea479d72 -
Upload model-00002-of-00006.safetensors with huggingface_hub
Verified signatureb921995 -
Upload model-00001-of-00006.safetensors with huggingface_hub
Verified signatureb9dd605 -
Upload tokenizer_config.json with huggingface_hub
Verified signature8d2a0cb
-
initial commit
Verified signature2aa2eab