Instructions to use Norod78/hebrew-gpt_neo-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Norod78/hebrew-gpt_neo-small with Transformers:

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

pipe = pipeline("text-generation", model="Norod78/hebrew-gpt_neo-small")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("Norod78/hebrew-gpt_neo-small")
model = AutoModelForMultimodalLM.from_pretrained("Norod78/hebrew-gpt_neo-small")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Norod78/hebrew-gpt_neo-small with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Norod78/hebrew-gpt_neo-small"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Norod78/hebrew-gpt_neo-small",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Norod78/hebrew-gpt_neo-small

SGLang

How to use Norod78/hebrew-gpt_neo-small 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 "Norod78/hebrew-gpt_neo-small" \
    --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": "Norod78/hebrew-gpt_neo-small",
		"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 "Norod78/hebrew-gpt_neo-small" \
        --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": "Norod78/hebrew-gpt_neo-small",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Norod78/hebrew-gpt_neo-small with Docker Model Runner:
```
docker model run hf.co/Norod78/hebrew-gpt_neo-small
```

Doron Adler commited on Jul 4, 2022

Commit

12ac2ca

1 Parent(s): e08d1e3

Remove 2 fields

Browse files

Files changed (1) hide show

config.json +0 -2

config.json CHANGED Viewed

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "Norod78/hebrew-gpt_neo-small",
   "activation_function": "gelu_new",
   "architectures": [
     "GPTNeoForCausalLM"
@@ -48,7 +47,6 @@
   "summary_use_proj": true,
   "torch_dtype": "float32",
   "transformers_version": "4.21.0.dev0",
-  "use_cache": false,
   "vocab_size": 50257,
   "window_size": 256
 }

 {
   "activation_function": "gelu_new",
   "architectures": [
     "GPTNeoForCausalLM"
   "summary_use_proj": true,
   "torch_dtype": "float32",
   "transformers_version": "4.21.0.dev0",
   "vocab_size": 50257,
   "window_size": 256
 }