Instructions to use Azaghast/GPT2-SCP-ContainmentProcedures with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Azaghast/GPT2-SCP-ContainmentProcedures with Transformers:

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

pipe = pipeline("text-generation", model="Azaghast/GPT2-SCP-ContainmentProcedures")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Azaghast/GPT2-SCP-ContainmentProcedures")
model = AutoModelForCausalLM.from_pretrained("Azaghast/GPT2-SCP-ContainmentProcedures")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Azaghast/GPT2-SCP-ContainmentProcedures with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Azaghast/GPT2-SCP-ContainmentProcedures"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Azaghast/GPT2-SCP-ContainmentProcedures",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Azaghast/GPT2-SCP-ContainmentProcedures

SGLang

How to use Azaghast/GPT2-SCP-ContainmentProcedures 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 "Azaghast/GPT2-SCP-ContainmentProcedures" \
    --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": "Azaghast/GPT2-SCP-ContainmentProcedures",
		"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 "Azaghast/GPT2-SCP-ContainmentProcedures" \
        --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": "Azaghast/GPT2-SCP-ContainmentProcedures",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Azaghast/GPT2-SCP-ContainmentProcedures with Docker Model Runner:
```
docker model run hf.co/Azaghast/GPT2-SCP-ContainmentProcedures
```

Azaghast commited on Jun 8, 2022

Commit

facbe5c

1 Parent(s): cedc580

Update model config

Browse files

Files changed (1) hide show

config.json +4 -2

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "C://Users//Azaghast//SCP Generator//Models//Containment Procedures//pytorch_model.bin",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -18,7 +18,9 @@
   "n_inner": null,
   "n_layer": 12,
   "n_positions": 1024,
   "resid_pdrop": 0.1,
   "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
@@ -32,7 +34,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.9.0",
   "use_cache": true,
   "vocab_size": 50260
 }

 {
+  "_name_or_path": "Azaghast/GPT2-SCP-ContainmentProcedures",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
   "n_inner": null,
   "n_layer": 12,
   "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
   "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
   "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
     }
   },
   "torch_dtype": "float32",
+  "transformers_version": "4.19.2",
   "use_cache": true,
   "vocab_size": 50260
 }