Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
bloom
Eval Results (legacy)
text-generation-inference
Instructions to use bigscience/bloom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/bloom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigscience/bloom")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom") model = AutoModelForCausalLM.from_pretrained("bigscience/bloom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use bigscience/bloom with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigscience/bloom" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigscience/bloom", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigscience/bloom
- SGLang
How to use bigscience/bloom 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/bloom" \ --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/bloom", "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/bloom" \ --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/bloom", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigscience/bloom with Docker Model Runner:
docker model run hf.co/bigscience/bloom
| -lee este texto: | |
| "Daring Pilot | |
| At age 23, Barrington Irving became the youngest person to fly alone around the world—in a small plane he built himself. Since then, he started a company called Experience Aviation. It helps students learn about flying and other subjects, like science and math. Students can study in the “Flying Classroom” or learn how to build cars. | |
| Here, Barrington Irving talks about his love of flying and his flight around the world. | |
| Why do you fly? | |
| I love being in the air between the sky and the Earth. It’s exciting, but I also feel very calm. | |
| Are you ever afraid? | |
| Yes, I was very afraid one time. It was during my flight around the world. I had to fly from Japan to a small | |
| island called Shemya, near Alaska. The flight was challenging. It was very windy, and then there was a bad storm. At one point, the radio pilots on the ground sent me a message. They said, “You have to go back to Japan.” And I said, “I don’t have enough fuel to go back.” It was risky to continue, but I took a chance and kept going. The radio pilots asked for my parents’ phone number. It was the end for me, they thought, but I didn’t give up. When I got to Shemya Island, I had 12 minutes of fuel left. | |
| What a frightening experience! | |
| Yes, it was, but I got to Shemya safely. I made it. And I learned a lot about flying."" | |
| 1-responde estas preguntas y escoge a o b, cual es la correcta: | |
| Irving flies because __________. | |
| a-it's a good job | |
| b-he likes the feeling of flying | |
| Irving didn't go back to Japan because __________. | |
| a-his plane stopped | |
| b-he didn't have enough gas | |
| The radio pilots asked for Irving’s parents' phone number because they __________. | |
| a-wanted to help Irving | |
| b-thought Irving might die | |
| Irving says the difficult flying experience __________. | |
| a-was exciting | |
| b-taught him a lot | |
| Which sentence would Irving agree with? | |
| a-When things are hard, keep trying. You can succeed. | |
| b-It's always better to play it safe. You don't always have to succeed. | |
| 2-tanbien ordena estas palabras : but I had to take a chance and keep going. | |
| but I got to Shayma safely. | |
| and then there was a bad storm. | |
| It's exciting, | |
| It was very windy, | |
| It was risky to continue, | |
| It was the end for me, they thought, | |
| Yes it was, | |
| but I didn't give up. | |
| but I also feel very calm. | |
| 3- Infer meaning. Complete the sentences with the best answers, escoge a ,b o c. | |
| In paragraph 4, sentence 4, challenging means __________. | |
| a-exciting | |
| b-long | |
| c-hard | |
| In paragraph 4, sentence 11, give up means __________. | |
| a-talk | |
| b-continue | |
| c-quit | |
| In line paragraph 5, sentence 2, Irving says I made it. This means "I did something __________ ." | |
| a-successfully | |
| b-slowly | |
| c-poorly | |