Instructions to use Adam173/seinfeld-dialogue-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Adam173/seinfeld-dialogue-model with Transformers:

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

pipe = pipeline("text-generation", model="Adam173/seinfeld-dialogue-model")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Adam173/seinfeld-dialogue-model")
model = AutoModelForCausalLM.from_pretrained("Adam173/seinfeld-dialogue-model")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Adam173/seinfeld-dialogue-model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Adam173/seinfeld-dialogue-model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Adam173/seinfeld-dialogue-model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Adam173/seinfeld-dialogue-model

SGLang

How to use Adam173/seinfeld-dialogue-model 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 "Adam173/seinfeld-dialogue-model" \
    --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": "Adam173/seinfeld-dialogue-model",
		"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 "Adam173/seinfeld-dialogue-model" \
        --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": "Adam173/seinfeld-dialogue-model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Adam173/seinfeld-dialogue-model with Docker Model Runner:
```
docker model run hf.co/Adam173/seinfeld-dialogue-model
```

Aksel Ethem commited on Apr 16, 2023

Commit

f3e857e

1 Parent(s): 9d6adcf

Upload model

Browse files

Files changed (3) hide show

config.json +1 -1
generation_config.json +6 -0
pytorch_model.bin +2 -2

config.json CHANGED Viewed

@@ -2,7 +2,7 @@
   "_name_or_path": "./seinfeld-dialogue-model",
   "activation_function": "gelu_new",
   "architectures": [
-    "GPT2Model"
   ],
   "attn_pdrop": 0.1,
   "bos_token_id": 50256,

   "_name_or_path": "./seinfeld-dialogue-model",
   "activation_function": "gelu_new",
   "architectures": [
+    "GPT2LMHeadModel"
   ],
   "attn_pdrop": 0.1,
   "bos_token_id": 50256,

generation_config.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.28.1"
+}

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