Instructions to use Multi-Domain-Expert-Learning/draco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Multi-Domain-Expert-Learning/draco with Transformers:

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

pipe = pipeline("text-generation", model="Multi-Domain-Expert-Learning/draco")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Multi-Domain-Expert-Learning/draco")
model = AutoModelForCausalLM.from_pretrained("Multi-Domain-Expert-Learning/draco")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Multi-Domain-Expert-Learning/draco with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Multi-Domain-Expert-Learning/draco

SGLang

How to use Multi-Domain-Expert-Learning/draco 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 "Multi-Domain-Expert-Learning/draco" \
    --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": "Multi-Domain-Expert-Learning/draco",
		"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 "Multi-Domain-Expert-Learning/draco" \
        --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": "Multi-Domain-Expert-Learning/draco",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Multi-Domain-Expert-Learning/draco with Docker Model Runner:
```
docker model run hf.co/Multi-Domain-Expert-Learning/draco
```

Ontocord.AI commited on Jul 4, 2023

Commit

e710939

1 Parent(s): fd6cf0b

Upload GPTBigCodeForCausalLM

Browse files

Files changed (7) hide show

config.json +1 -1
generation_config.json +1 -1
pytorch_model-00001-of-00004.bin +3 -0
pytorch_model-00002-of-00004.bin +3 -0
pytorch_model-00003-of-00004.bin +3 -0
pytorch_model-00004-of-00004.bin +3 -0
pytorch_model.bin.index.json +0 -0

config.json CHANGED Viewed

@@ -32,7 +32,7 @@
   "summary_type": "cls_index",
   "summary_use_proj": true,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.30.1",
   "use_cache": true,
   "validate_runner_input": true,
   "vocab_size": 49156

   "summary_type": "cls_index",
   "summary_use_proj": true,
   "torch_dtype": "bfloat16",
+  "transformers_version": "4.31.0.dev0",
   "use_cache": true,
   "validate_runner_input": true,
   "vocab_size": 49156

generation_config.json CHANGED Viewed

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 0,
-  "transformers_version": "4.30.1"
 }

   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 0,
+  "transformers_version": "4.31.0.dev0"
 }

pytorch_model-00001-of-00004.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a36e348a4cf48d908158a9f0866644e8ae8dc7562e68f9a3f06671bb591ba31e
+size 9958032181

pytorch_model-00002-of-00004.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:31c8b9ecc8d6e0ebb1bdc4c48d5aa5d7432c31a520940f647c88e7d2534b6f04
+size 9857381671

pytorch_model-00003-of-00004.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:de4d9f7ff72f283a09c67389170d55ebb81a47800803a9eee92b263b43711523
+size 9857381671

pytorch_model-00004-of-00004.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3b87a6a6e42b1fc5dc11b76838f36eac0a360e8840872500218158380ac3883a
+size 1362327955

pytorch_model.bin.index.json CHANGED Viewed

The diff for this file is too large to render. See raw diff