Instructions to use Alpaca69B/phi2-2b-absa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Alpaca69B/phi2-2b-absa with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Alpaca69B/phi2-2b-absa", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Alpaca69B/phi2-2b-absa", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Alpaca69B/phi2-2b-absa", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Alpaca69B/phi2-2b-absa with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Alpaca69B/phi2-2b-absa"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Alpaca69B/phi2-2b-absa",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Alpaca69B/phi2-2b-absa

SGLang

How to use Alpaca69B/phi2-2b-absa 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 "Alpaca69B/phi2-2b-absa" \
    --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": "Alpaca69B/phi2-2b-absa",
		"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 "Alpaca69B/phi2-2b-absa" \
        --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": "Alpaca69B/phi2-2b-absa",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Alpaca69B/phi2-2b-absa with Docker Model Runner:
```
docker model run hf.co/Alpaca69B/phi2-2b-absa
```

Alpaca69B commited on Feb 21, 2024

Commit

559c9ab

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1 Parent(s): 7eb03ac

Update README.md

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@@ -52,7 +52,6 @@ from transformers import AutoTokenizer, pipeline
 import torch
 model = "Alpaca69B/llama-2-7b-absa-semeval-2016"
-prompt = "### Human: the first thing that attracts attention is the warm reception and the smiling receptionists. excellent service where the staff make sure that you got your request and keep you comfortable. very nice swimming pool and a gym that suits a 5-star hotel."
 tokenizer = AutoTokenizer.from_pretrained(model)
 pipeline = pipeline(

 import torch
 model = "Alpaca69B/llama-2-7b-absa-semeval-2016"
 tokenizer = AutoTokenizer.from_pretrained(model)
 pipeline = pipeline(