Instructions to use connaaa/interpgpt-standard-23M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use connaaa/interpgpt-standard-23M with Transformers:

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

pipe = pipeline("text-generation", model="connaaa/interpgpt-standard-23M", trust_remote_code=True)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("connaaa/interpgpt-standard-23M", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use connaaa/interpgpt-standard-23M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "connaaa/interpgpt-standard-23M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "connaaa/interpgpt-standard-23M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/connaaa/interpgpt-standard-23M

SGLang

How to use connaaa/interpgpt-standard-23M 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 "connaaa/interpgpt-standard-23M" \
    --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": "connaaa/interpgpt-standard-23M",
		"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 "connaaa/interpgpt-standard-23M" \
        --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": "connaaa/interpgpt-standard-23M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use connaaa/interpgpt-standard-23M with Docker Model Runner:
```
docker model run hf.co/connaaa/interpgpt-standard-23M
```

connaaa commited on 22 days ago

Commit

91e99bc

verified ·

1 Parent(s): 378744c

fix: avoid duplicate pad_token_id kwarg on config reload

Browse files

Files changed (1) hide show

configuration_interpgpt.py +1 -0

configuration_interpgpt.py CHANGED Viewed

@@ -34,4 +34,5 @@ class InterpGPTConfig(PretrainedConfig):
         self.pad_id = pad_id
         self.bias = bias
         self.variant = variant
         super().__init__(pad_token_id=pad_id, **kwargs)

         self.pad_id = pad_id
         self.bias = bias
         self.variant = variant
+        kwargs.pop("pad_token_id", None)
         super().__init__(pad_token_id=pad_id, **kwargs)