Instructions to use Thalirajesh/DistilGPT2EssayGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Thalirajesh/DistilGPT2EssayGenerator with Transformers:

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

pipe = pipeline("text-generation", model="Thalirajesh/DistilGPT2EssayGenerator")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Thalirajesh/DistilGPT2EssayGenerator")
model = AutoModelForCausalLM.from_pretrained("Thalirajesh/DistilGPT2EssayGenerator", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Thalirajesh/DistilGPT2EssayGenerator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Thalirajesh/DistilGPT2EssayGenerator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Thalirajesh/DistilGPT2EssayGenerator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Thalirajesh/DistilGPT2EssayGenerator

SGLang

How to use Thalirajesh/DistilGPT2EssayGenerator 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 "Thalirajesh/DistilGPT2EssayGenerator" \
    --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": "Thalirajesh/DistilGPT2EssayGenerator",
		"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 "Thalirajesh/DistilGPT2EssayGenerator" \
        --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": "Thalirajesh/DistilGPT2EssayGenerator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Thalirajesh/DistilGPT2EssayGenerator with Docker Model Runner:
```
docker model run hf.co/Thalirajesh/DistilGPT2EssayGenerator
```

Thalirajesh commited on Mar 25, 2024

Commit

025b14e

verified ·

1 Parent(s): e10edfd

Update README.md

Browse files

Files changed (1) hide show

README.md +7 -6

README.md CHANGED Viewed

@@ -14,12 +14,13 @@ tags:
 - essay-writing
 inference:
-  max_length: 400
-  num_beams: 10
-  early_stopping: true
-  temperature: 0.3
-  no_repeat_ngram_size: 2
-  num_return_sequences: 2
 ---

 - essay-writing
 inference:
+  parameters:
+    max_length: 400
+    num_beams: 10
+    early_stopping: true
+    temperature: 0.3
+    no_repeat_ngram_size: 2
+    num_return_sequences: 2
 ---