Instructions to use hf-internal-testing/tiny-random-MusicgenForCausalLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hf-internal-testing/tiny-random-MusicgenForCausalLM with Transformers:

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

pipe = pipeline("text-generation", model="hf-internal-testing/tiny-random-MusicgenForCausalLM")

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("hf-internal-testing/tiny-random-MusicgenForCausalLM", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use hf-internal-testing/tiny-random-MusicgenForCausalLM with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/hf-internal-testing/tiny-random-MusicgenForCausalLM

SGLang

How to use hf-internal-testing/tiny-random-MusicgenForCausalLM 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 "hf-internal-testing/tiny-random-MusicgenForCausalLM" \
    --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": "hf-internal-testing/tiny-random-MusicgenForCausalLM",
		"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 "hf-internal-testing/tiny-random-MusicgenForCausalLM" \
        --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": "hf-internal-testing/tiny-random-MusicgenForCausalLM",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use hf-internal-testing/tiny-random-MusicgenForCausalLM with Docker Model Runner:
```
docker model run hf.co/hf-internal-testing/tiny-random-MusicgenForCausalLM
```

ydshieh HF Staff commited on Oct 6, 2023

Commit

f67d387

1 Parent(s): 37e9ae5

Upload MusicgenForCausalLM

Browse files

Files changed (3) hide show

config.json +27 -0
generation_config.json +7 -0
pytorch_model.bin +3 -0

config.json ADDED Viewed

	@@ -0,0 +1,27 @@

+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "MusicgenForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 99,
+  "decoder_start_token_id": 99,
+  "dropout": 0.1,
+  "ffn_dim": 4,
+  "hidden_size": 16,
+  "initializer_factor": 0.02,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "musicgen_decoder",
+  "num_attention_heads": 4,
+  "num_codebooks": 4,
+  "num_hidden_layers": 2,
+  "pad_token_id": 99,
+  "scale_embedding": false,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0.dev0",
+  "use_cache": true,
+  "vocab_size": 99
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,7 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 99,
+  "decoder_start_token_id": 99,
+  "pad_token_id": 99,
+  "transformers_version": "4.35.0.dev0"
+}

pytorch_model.bin ADDED Viewed

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

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+size 214319