Text Generation
Transformers
PyTorch
Safetensors
English
Hindi
gpt_neox
code
Eval Results (legacy)
text-generation-inference
Instructions to use VAIBHAV22334455/JARVIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VAIBHAV22334455/JARVIS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="VAIBHAV22334455/JARVIS")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("VAIBHAV22334455/JARVIS") model = AutoModelForCausalLM.from_pretrained("VAIBHAV22334455/JARVIS") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use VAIBHAV22334455/JARVIS with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "VAIBHAV22334455/JARVIS" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VAIBHAV22334455/JARVIS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/VAIBHAV22334455/JARVIS
- SGLang
How to use VAIBHAV22334455/JARVIS 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 "VAIBHAV22334455/JARVIS" \ --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": "VAIBHAV22334455/JARVIS", "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 "VAIBHAV22334455/JARVIS" \ --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": "VAIBHAV22334455/JARVIS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use VAIBHAV22334455/JARVIS with Docker Model Runner:
docker model run hf.co/VAIBHAV22334455/JARVIS
Update README.md
#2
by Abhaykoul - opened
No description provided.
This model was text generation not text to text generation
Abhaykoul changed pull request status to closed
Abhaykoul changed pull request status to open
VAIBHAV22334455 changed pull request status to merged