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docs: update README.md typos (#155)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@@ -508,7 +508,7 @@ openllm embed --endpoint http://localhost:3000 "I like to eat apples" -o json
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}
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```
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To invoke this endpoints, use ``client.embed`` from the Python SDK:
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To invoke this endpoint, use ``client.embed`` from the Python SDK:
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```python
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import openllm
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@@ -619,7 +619,7 @@ agent.run("Is the following `text` positive or negative?", text="I don't like ho
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```
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> **Note** Only `starcoder` is currently supported with Agent integration. The
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> example above was also ran with four T4s on EC2 `g4dn.12xlarge`
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> example above was also run with four T4s on EC2 `g4dn.12xlarge`
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If you want to use OpenLLM client to ask questions to the running agent, you can
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also do so:
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@@ -672,7 +672,7 @@ There are several ways to deploy your LLMs:
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### ☁️ BentoCloud
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Deploy OpenLLM with [BentoCloud](https://www.bentoml.com/bento-cloud/), the
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Deploy OpenLLM with [BentoCloud](https://www.bentoml.com/bento-cloud/),
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the serverless cloud for shipping and scaling AI applications.
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1. **Create a BentoCloud account:** [sign up here](https://bentoml.com/cloud)
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