langchain/docs/modules/models
Nolan Tremelling faa26650c9
Beam (#4996)
# Beam

Calls the Beam API wrapper to deploy and make subsequent calls to an
instance of the gpt2 LLM in a cloud deployment. Requires installation of
the Beam library and registration of Beam Client ID and Client Secret.
Additional calls can then be made through the instance of the large
language model in your code or by calling the Beam API.

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Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 01:25:18 -07:00
..
chat Simplify HumanMessages in the quick start guide (#4026) 2023-05-03 22:45:03 -07:00
llms Beam (#4996) 2023-05-24 01:25:18 -07:00
text_embedding/examples Add MosaicML inference endpoints (#4607) 2023-05-23 15:59:08 -07:00
chat.rst big docs refactor (#1978) 2023-03-26 19:49:46 -07:00
getting_started.ipynb change heading 2023-05-13 09:52:23 -07:00
llms.rst big docs refactor (#1978) 2023-03-26 19:49:46 -07:00
text_embedding.rst big docs refactor (#1978) 2023-03-26 19:49:46 -07:00