Text Generation
Transformers
PyTorch
ONNX
Safetensors
mt5
text2text-generation
Eval Results (legacy)
Instructions to use bigscience/mt0-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/mt0-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigscience/mt0-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bigscience/mt0-large") model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/mt0-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use bigscience/mt0-large with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigscience/mt0-large" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigscience/mt0-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigscience/mt0-large
- SGLang
How to use bigscience/mt0-large 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 "bigscience/mt0-large" \ --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": "bigscience/mt0-large", "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 "bigscience/mt0-large" \ --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": "bigscience/mt0-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigscience/mt0-large with Docker Model Runner:
docker model run hf.co/bigscience/mt0-large
Commit History
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Adding ONNX file of this model (#5)
- Adding ONNX file of this model (967551564d66ea65ebe632a4c0f5a326fa0ab468) Co-authored-by: i <Gidz@users.noreply.huggingface.co>c2cdb7d
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Update README.md
edda1ff
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Fix bad link to xP3 dataset (#3)
- Fix bad link to xP3 dataset (08101e41bf0ab2d21f37c194263be34320660eef) Co-authored-by: Nicolas Brousse <orieg@users.noreply.huggingface.co>0bc855a
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Adding `safetensors` variant of this model (#4)
- Adding `safetensors` variant of this model (839356acb1a255240c494fa1d1220eb857d9a7df) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d0e648d
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Update README.md (#2)
- Update README.md (fe06671b7a9561fc6c10ad30242ea69b59be21e7)14122f9
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corrections to the README.md (#1)
- corrections to the README.md (3dcfa38f346af1fb3f81b269b23d9618e5c9ee73) Co-authored-by: Sourab Mangrulkar <smangrul@users.noreply.huggingface.co>7e9d6ef
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Update README.md
3841d1a
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Update steps
0820e41 -
Update TPU
0d28c72 -
Add results
6aec4a0
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Add checkpoint_1025000
thomasw2142d16c3
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initial commit
Thomas Wang92097b5