Instructions to use gijl/htdn-arabic-350m1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gijl/htdn-arabic-350m1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="gijl/htdn-arabic-350m1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gijl/htdn-arabic-350m1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use gijl/htdn-arabic-350m1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "gijl/htdn-arabic-350m1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "gijl/htdn-arabic-350m1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/gijl/htdn-arabic-350m1
- SGLang
How to use gijl/htdn-arabic-350m1 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 "gijl/htdn-arabic-350m1" \ --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": "gijl/htdn-arabic-350m1", "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 "gijl/htdn-arabic-350m1" \ --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": "gijl/htdn-arabic-350m1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use gijl/htdn-arabic-350m1 with Docker Model Runner:
docker model run hf.co/gijl/htdn-arabic-350m1
Download config.json from gijl/htdn-arabic-350m1: direct link, hf CLI and curl.
- Browser
- Download file 450 Bytes
-
https://huggingface.co/gijl/htdn-arabic-350m1/resolve/main/config.json
- Command line
-
hf download hf://gijl/htdn-arabic-350m1/config.json
-
curl -L -o config.json https://huggingface.co/gijl/htdn-arabic-350m1/resolve/main/config.json
450 Bytes
| { | |
| "model_type": "htdn", | |
| "architectures": [ | |
| "HTDNModel" | |
| ], | |
| "vocab_size": 119547, | |
| "d_model": 1024, | |
| "d_u": 512, | |
| "d_v": 512, | |
| "hidden_react": 3072, | |
| "n_attractors": 22000, | |
| "num_heads": 8, | |
| "num_layers": 4, | |
| "max_len": 64, | |
| "tokenizer": "bert-base-multilingual-cased", | |
| "checkpoint_step": 428440, | |
| "framework": "jax/flax", | |
| "training_meta": { | |
| "best_loss": 0.3741021156311035, | |
| "total_elapsed_readable": "120:36:03" | |
| } | |
| } |