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README.md

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-A post-processed version of [bigscience/bloom](https://huggingface.co/bigscience/bloom) for volunteer computing.
+# BLOOM, a version for Petals
 
-You can use [Petals](https://github.com/bigscience-workshop/petals) to inference and fine-tunine the model in colab.
-More details in [petals.ml](https://petals.ml/)
+This model is a version of [bigscience/bloom](https://huggingface.co/bigscience/bloom)
+post-processed to be run at home using the [Petals](https://github.com/bigscience-workshop/petals#readme) swarm.
+
+Please check out:
+
+- The [original model card](https://huggingface.co/bigscience/bloom)
+  to learn about the model's capabilities, specifications, and terms of use.
+- The [Petals repository](https://github.com/bigscience-workshop/petals#readme)
+  to learn how to install Petals and run this model over the Petals swarm.
+
+We provide minimal code examples below.
+
+## Using the model
+
+```python
+from petals import DistributedBloomForCausalLM
+
+model = DistributedBloomForCausalLM.from_pretrained("bigscience/bloom-petals")
+# Embeddings & prompts are on your device, BLOOM blocks are distributed across the Internet
+
+inputs = tokenizer("A cat sat", return_tensors="pt")["input_ids"]
+outputs = model.generate(inputs, max_new_tokens=5)
+print(tokenizer.decode(outputs[0]))  # A cat sat on a mat...
+```
+
+## Serving the model blocks
+
+```bash
+python -m petals.cli.run_server bigscience/bloom-petals
+```