Instructions to use nirajsaran/AdTextGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nirajsaran/AdTextGeneration with Transformers:

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

pipe = pipeline("text-generation", model="nirajsaran/AdTextGeneration")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nirajsaran/AdTextGeneration")
model = AutoModelForCausalLM.from_pretrained("nirajsaran/AdTextGeneration")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use nirajsaran/AdTextGeneration with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/nirajsaran/AdTextGeneration

SGLang

How to use nirajsaran/AdTextGeneration 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 "nirajsaran/AdTextGeneration" \
    --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": "nirajsaran/AdTextGeneration",
		"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 "nirajsaran/AdTextGeneration" \
        --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": "nirajsaran/AdTextGeneration",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use nirajsaran/AdTextGeneration with Docker Model Runner:
```
docker model run hf.co/nirajsaran/AdTextGeneration
```

nirajsaran commited on May 10, 2022

Commit

db993f5

1 Parent(s): 1224686

Update README.md

Browse files

top_p, metrics, cases where it doesn't do well

Files changed (1) hide show

README.md +14 -1

README.md CHANGED Viewed

@@ -7,6 +7,7 @@ inference:
     use_cache: false
     max_length: 200
     top_k: 5
 widget:
 - text: "Sony TV"
@@ -17,11 +18,16 @@ widget:
   example_title: "Ads for shopping deals"
 - text: "Labor Day discounts for"
   example_title: "Ads for Holiday deals"
 ---
 Generates Ad copy, currently for ads for Amazon shopping (fine tuned for electronics and wearables).
-**Examples:**
 Enter the bolded text below to get the Amazon ad generated by the model.
 **Big savings on the new** Roku Streaming Device
@@ -34,3 +40,10 @@ You can try entering brand and product names like Samsung Galaxy to see the ad t
 Currently fine tuned on the EleutherAI/gpt-neo-125M model

     use_cache: false
     max_length: 200
     top_k: 5
+    top_p: 0.9
 widget:
 - text: "Sony TV"
   example_title: "Ads for shopping deals"
 - text: "Labor Day discounts for"
   example_title: "Ads for Holiday deals"
+metrics:
+- bleu
+- sacrebleu
 ---
 Generates Ad copy, currently for ads for Amazon shopping (fine tuned for electronics and wearables).
+**Usage Examples:**
 Enter the bolded text below to get the Amazon ad generated by the model.
 **Big savings on the new** Roku Streaming Device
 Currently fine tuned on the EleutherAI/gpt-neo-125M model
+**Model Performance:**
+The model does quite well on the Electronics and Wearables categories on which it has been fine-tuned. There are, however, occasional hallucinations, though the ad copy is mostly coherent.
+In other domains, it doesn't do quite as well...
+Tesla for Christmas today,
+Honda on sale