Instructions to use Narsil/tiny-random-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/tiny-random-bart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Narsil/tiny-random-bart")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Narsil/tiny-random-bart", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Narsil/tiny-random-bart with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Narsil/tiny-random-bart" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Narsil/tiny-random-bart", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Narsil/tiny-random-bart
- SGLang
How to use Narsil/tiny-random-bart 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 "Narsil/tiny-random-bart" \ --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": "Narsil/tiny-random-bart", "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 "Narsil/tiny-random-bart" \ --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": "Narsil/tiny-random-bart", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Narsil/tiny-random-bart with Docker Model Runner:
docker model run hf.co/Narsil/tiny-random-bart
| { | |
| "activation_dropout": 0.0, | |
| "activation_function": "gelu", | |
| "attention_dropout": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": 0.0, | |
| "d_model": 16, | |
| "decoder_attention_heads": 4, | |
| "decoder_ffn_dim": 4, | |
| "decoder_layerdrop": 0.0, | |
| "decoder_layers": 2, | |
| "decoder_start_token_id": 2, | |
| "dropout": 0.1, | |
| "encoder_attention_heads": 4, | |
| "encoder_ffn_dim": 4, | |
| "encoder_layerdrop": 0.0, | |
| "eos_token_id": 2, | |
| "encoder_layers": 2, | |
| "forced_eos_token_id": 2, | |
| "no_repeat_ngram_size": 0, | |
| "gradient_checkpointing": false, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "init_std": 0.02, | |
| "is_encoder_decoder": true, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "max_position_embeddings": 100, | |
| "model_type": "bart", | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 1, | |
| "scale_embedding": false, | |
| "transformers_version": "4.11.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 1000 | |
| } | |