Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
bloom
Eval Results (legacy)
text-generation-inference
Instructions to use bigscience/bloomz-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/bloomz-mt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigscience/bloomz-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-mt") model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-mt") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use bigscience/bloomz-mt with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigscience/bloomz-mt" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigscience/bloomz-mt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigscience/bloomz-mt
- SGLang
How to use bigscience/bloomz-mt 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/bloomz-mt" \ --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/bloomz-mt", "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/bloomz-mt" \ --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/bloomz-mt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigscience/bloomz-mt with Docker Model Runner:
docker model run hf.co/bigscience/bloomz-mt
Commit ·
cfba2fb
1
Parent(s): 7f6b876
Update README.md
Browse files
README.md
CHANGED
|
@@ -693,8 +693,8 @@ model-index:
|
|
| 693 |
</tr>
|
| 694 |
<tr>
|
| 695 |
<td>Finetuned Model</td>
|
|
|
|
| 696 |
<td><a href=https://huggingface.co/bigscience/mt0-base>mt0-base</a></td>
|
| 697 |
-
<td><a href=https://huggingface.co/bigscience/mt0-small>mt0-small</a></td>
|
| 698 |
<td><a href=https://huggingface.co/bigscience/mt0-large>mt0-large</a></td>
|
| 699 |
<td><a href=https://huggingface.co/bigscience/mt0-xl>mt0-xl</a></td>
|
| 700 |
<td><a href=https://huggingface.co/bigscience/mt0-xxl>mt0-xxl</a></td>
|
|
@@ -742,8 +742,8 @@ model-index:
|
|
| 742 |
<th colspan="12">Original pretrained checkpoints. Not recommended.</th>
|
| 743 |
<tr>
|
| 744 |
<td>Pretrained Model</td>
|
|
|
|
| 745 |
<td><a href=https://huggingface.co/google/mt5-base>mt5-base</a></td>
|
| 746 |
-
<td><a href=https://huggingface.co/google/mt5-small>mt5-small</a></td>
|
| 747 |
<td><a href=https://huggingface.co/google/mt5-large>mt5-large</a></td>
|
| 748 |
<td><a href=https://huggingface.co/google/mt5-xl>mt5-xl</a></td>
|
| 749 |
<td><a href=https://huggingface.co/google/mt5-xxl>mt5-xxl</a></td>
|
|
|
|
| 693 |
</tr>
|
| 694 |
<tr>
|
| 695 |
<td>Finetuned Model</td>
|
| 696 |
+
<td><a href=https://huggingface.co/bigscience/mt0-small>mt0-small</a></td>
|
| 697 |
<td><a href=https://huggingface.co/bigscience/mt0-base>mt0-base</a></td>
|
|
|
|
| 698 |
<td><a href=https://huggingface.co/bigscience/mt0-large>mt0-large</a></td>
|
| 699 |
<td><a href=https://huggingface.co/bigscience/mt0-xl>mt0-xl</a></td>
|
| 700 |
<td><a href=https://huggingface.co/bigscience/mt0-xxl>mt0-xxl</a></td>
|
|
|
|
| 742 |
<th colspan="12">Original pretrained checkpoints. Not recommended.</th>
|
| 743 |
<tr>
|
| 744 |
<td>Pretrained Model</td>
|
| 745 |
+
<td><a href=https://huggingface.co/google/mt5-small>mt5-small</a></td>
|
| 746 |
<td><a href=https://huggingface.co/google/mt5-base>mt5-base</a></td>
|
|
|
|
| 747 |
<td><a href=https://huggingface.co/google/mt5-large>mt5-large</a></td>
|
| 748 |
<td><a href=https://huggingface.co/google/mt5-xl>mt5-xl</a></td>
|
| 749 |
<td><a href=https://huggingface.co/google/mt5-xxl>mt5-xxl</a></td>
|