Instructions to use anton-l/gpt-j-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use anton-l/gpt-j-tiny-random with Transformers:

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

pipe = pipeline("text-generation", model="anton-l/gpt-j-tiny-random")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("anton-l/gpt-j-tiny-random")
model = AutoModelForCausalLM.from_pretrained("anton-l/gpt-j-tiny-random")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use anton-l/gpt-j-tiny-random with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/anton-l/gpt-j-tiny-random

SGLang

How to use anton-l/gpt-j-tiny-random 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 "anton-l/gpt-j-tiny-random" \
    --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": "anton-l/gpt-j-tiny-random",
		"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 "anton-l/gpt-j-tiny-random" \
        --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": "anton-l/gpt-j-tiny-random",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use anton-l/gpt-j-tiny-random with Docker Model Runner:
```
docker model run hf.co/anton-l/gpt-j-tiny-random
```

speech-test commited on Sep 22, 2021

Commit

c104fcf

1 Parent(s): 92bc388

Upload model

Browse files

Files changed (2) hide show

config.json +3 -3
pytorch_model.bin +2 -2

config.json CHANGED Viewed

@@ -12,10 +12,10 @@
   "layer_norm_epsilon": 1e-05,
   "model_type": "gptj",
   "n_ctx": 2048,
-  "n_embd": 64,
-  "n_head": 2,
   "n_inner": null,
-  "n_layer": 2,
   "n_positions": 2048,
   "resid_pdrop": 0.0,
   "rotary_dim": 64,

   "layer_norm_epsilon": 1e-05,
   "model_type": "gptj",
   "n_ctx": 2048,
+  "n_embd": 512,
+  "n_head": 4,
   "n_inner": null,
+  "n_layer": 8,
   "n_positions": 2048,
   "resid_pdrop": 0.0,
   "rotary_dim": 64,

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3314bc4be73e4086d0ad05e31f0cf07b3edaa8aef88bd9246f9ed29644f16fe9
-size 34801806

 version https://git-lfs.github.com/spec/v1
+oid sha256:4d6a09933abd1bd91c277f16c98aa263b6e41023eaba3bd94e917fb7c8db7fd0
+size 341012151