Instructions to use Arjun-G-Ravi/GPT2-Alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arjun-G-Ravi/GPT2-Alpaca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Arjun-G-Ravi/GPT2-Alpaca")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Arjun-G-Ravi/GPT2-Alpaca") model = AutoModelForCausalLM.from_pretrained("Arjun-G-Ravi/GPT2-Alpaca") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Arjun-G-Ravi/GPT2-Alpaca with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Arjun-G-Ravi/GPT2-Alpaca" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Arjun-G-Ravi/GPT2-Alpaca", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Arjun-G-Ravi/GPT2-Alpaca
- SGLang
How to use Arjun-G-Ravi/GPT2-Alpaca 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 "Arjun-G-Ravi/GPT2-Alpaca" \ --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": "Arjun-G-Ravi/GPT2-Alpaca", "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 "Arjun-G-Ravi/GPT2-Alpaca" \ --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": "Arjun-G-Ravi/GPT2-Alpaca", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Arjun-G-Ravi/GPT2-Alpaca with Docker Model Runner:
docker model run hf.co/Arjun-G-Ravi/GPT2-Alpaca
Commit ·
cee96fb
1
Parent(s): 901ea25
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,12 +9,16 @@ metrics:
|
|
| 9 |
library_name: transformers
|
| 10 |
pipeline_tag: text-generation
|
| 11 |
widget:
|
| 12 |
-
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction:What is artificial intelligence?\nResponse: "
|
| 13 |
example_title: "Knowledge"
|
| 14 |
-
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction:Write a poem on cows\nResponse: "
|
| 15 |
example_title: "Poem Generation"
|
| 16 |
-
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction:What is the meaning of life\nResponse: "
|
| 17 |
example_title: "Philosophy"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
---
|
| 19 |
|
| 20 |
# Model Card for Model ID
|
|
|
|
| 9 |
library_name: transformers
|
| 10 |
pipeline_tag: text-generation
|
| 11 |
widget:
|
| 12 |
+
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction: What is artificial intelligence?\nResponse: "
|
| 13 |
example_title: "Knowledge"
|
| 14 |
+
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction: Write a haiku poem on cows\nResponse: "
|
| 15 |
example_title: "Poem Generation"
|
| 16 |
+
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction: What is the meaning of life?\nResponse: "
|
| 17 |
example_title: "Philosophy"
|
| 18 |
+
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction: What is the sky blue?\nResponse: "
|
| 19 |
+
example_title: "Knowledge"
|
| 20 |
+
- text: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\nInstruction: Define electrostatic potential\nResponse: "
|
| 21 |
+
example_title: "Knowledge"
|
| 22 |
---
|
| 23 |
|
| 24 |
# Model Card for Model ID
|