Instructions to use Amama02/pinterest-personality-keywords-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Amama02/pinterest-personality-keywords-v3 with Transformers:

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

pipe = pipeline("text-generation", model="Amama02/pinterest-personality-keywords-v3")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Amama02/pinterest-personality-keywords-v3")
model = AutoModelForSeq2SeqLM.from_pretrained("Amama02/pinterest-personality-keywords-v3", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Amama02/pinterest-personality-keywords-v3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Amama02/pinterest-personality-keywords-v3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Amama02/pinterest-personality-keywords-v3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Amama02/pinterest-personality-keywords-v3

SGLang

How to use Amama02/pinterest-personality-keywords-v3 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 "Amama02/pinterest-personality-keywords-v3" \
    --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": "Amama02/pinterest-personality-keywords-v3",
		"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 "Amama02/pinterest-personality-keywords-v3" \
        --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": "Amama02/pinterest-personality-keywords-v3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Amama02/pinterest-personality-keywords-v3 with Docker Model Runner:
```
docker model run hf.co/Amama02/pinterest-personality-keywords-v3
```

Amama02 commited on Aug 7, 2025

Commit

97c4578

verified ·

1 Parent(s): c4ecf08

Upload generation_config.json with huggingface_hub

Browse files

Files changed (1) hide show

generation_config.json +9 -2

generation_config.json CHANGED Viewed

@@ -1,7 +1,14 @@
 {
-  "_from_model_config": true,
-  "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
   "transformers_version": "4.44.0"
 }

 {
+  "do_sample": true,
+  "early_stopping": true,
   "eos_token_id": 1,
+  "length_penalty": 1.2,
+  "max_length": 300,
+  "no_repeat_ngram_size": 2,
+  "num_beams": 8,
   "pad_token_id": 0,
+  "repetition_penalty": 2.0,
+  "temperature": 0.9,
+  "top_p": 0.95,
   "transformers_version": "4.44.0"
 }