Text Generation
Transformers
PyTorch
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
text2text-generation
T5
NorT5
Norwegian
encoder-decoder
custom_code
Instructions to use ltg/nort5-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/nort5-xs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ltg/nort5-xs", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("ltg/nort5-xs", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ltg/nort5-xs with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ltg/nort5-xs" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ltg/nort5-xs", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ltg/nort5-xs
- SGLang
How to use ltg/nort5-xs 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 "ltg/nort5-xs" \ --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": "ltg/nort5-xs", "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 "ltg/nort5-xs" \ --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": "ltg/nort5-xs", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ltg/nort5-xs with Docker Model Runner:
docker model run hf.co/ltg/nort5-xs
| { | |
| "architectures": [ | |
| "NorT5ForConditionalGeneration" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_nort5.NorT5Config", | |
| "AutoModel": "modeling_nort5.NorT5Model", | |
| "AutoModelForSeq2SeqLM": "modeling_nort5.NorT5ForConditionalGeneration", | |
| "AutoModelForConditionalGeneration": "modeling_nort5.NorT5ForConditionalGeneration" | |
| }, | |
| "attention_probs_dropout_prob": 0.0, | |
| "bos_token_id": 5, | |
| "cls_token_id": 1, | |
| "eos_token_id": 6, | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 192, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 512, | |
| "layer_norm_eps": 1e-07, | |
| "max_position_embeddings": 512, | |
| "num_attention_heads": 3, | |
| "num_hidden_layers": 12, | |
| "output_all_encoded_layers": true, | |
| "pad_token_id": 3, | |
| "position_bucket_size": 32, | |
| "sep_token_id": 2, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.24.0", | |
| "vocab_size": 50000, | |
| "max_length": 512, | |
| "max_new_tokens": 256, | |
| "is_encoder_decoder": true | |
| } | |