Text Generation
Transformers
ONNX
Safetensors
English
bart
text2text-generation
g2p
cisco
Grapheme-to-Phoneme
Instructions to use cisco-ai/mini-bart-g2p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cisco-ai/mini-bart-g2p with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cisco-ai/mini-bart-g2p")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cisco-ai/mini-bart-g2p") model = AutoModelForSeq2SeqLM.from_pretrained("cisco-ai/mini-bart-g2p") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use cisco-ai/mini-bart-g2p with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cisco-ai/mini-bart-g2p" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cisco-ai/mini-bart-g2p", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cisco-ai/mini-bart-g2p
- SGLang
How to use cisco-ai/mini-bart-g2p 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 "cisco-ai/mini-bart-g2p" \ --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": "cisco-ai/mini-bart-g2p", "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 "cisco-ai/mini-bart-g2p" \ --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": "cisco-ai/mini-bart-g2p", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use cisco-ai/mini-bart-g2p with Docker Model Runner:
docker model run hf.co/cisco-ai/mini-bart-g2p
Make model vllm compatible
#4
by vrdn23 - opened
The model had an un-used layer of final_logits_bias which was full of zeroes that was causing vLLM to fail to load the model. Removing that has no impact on quality which I've verified. Also regenerated the new onnx models and moved them to the onnx folder.
vrdn23 changed pull request status to open
I've verified it results match with the new onnx models.
vrdn23 changed pull request status to merged