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updated langchain/docs/modules/models/llms/integrations/ notebooks (#3041)
- Updated `langchain/docs/modules/models/llms/integrations/` notebooks: added links to the original sites, the install information, etc. - Added the `nlpcloud` notebook. - Removed "Example" from Titles of some notebooks, so all notebook titles are consistent.
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@@ -4,7 +4,10 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# CerebriumAI LLM Example\n",
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"# CerebriumAI\n",
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"\n",
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"`Cerebrium` is an AWS Sagemaker alternative. It also provides API access to [several LLM models](https://docs.cerebrium.ai/cerebrium/prebuilt-models/deploymen).\n",
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"\n",
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"This notebook goes over how to use Langchain with [CerebriumAI](https://docs.cerebrium.ai/introduction)."
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]
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},
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@@ -13,7 +16,7 @@
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"metadata": {},
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"source": [
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"## Install cerebrium\n",
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"The `cerebrium` package is required to use the CerebriumAI API. Install `cerebrium` using `pip3 install cerebrium`."
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"The `cerebrium` package is required to use the `CerebriumAI` API. Install `cerebrium` using `pip3 install cerebrium`."
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]
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},
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{
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@@ -22,7 +25,8 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"$ pip3 install cerebrium"
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"# Install the package\n",
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"!pip3 install cerebrium"
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]
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},
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{
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@@ -48,7 +52,7 @@
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"metadata": {},
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"source": [
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"## Set the Environment API Key\n",
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"Make sure to get your API key from CerebriumAI. You are given a 1 hour free of serverless GPU compute to test different models."
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"Make sure to get your API key from CerebriumAI. See [here](https://dashboard.cerebrium.ai/login). You are given a 1 hour free of serverless GPU compute to test different models."
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]
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},
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{
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@@ -136,15 +140,22 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.9.12 ('palm')",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"version": "3.9.12"
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "a0a0263b650d907a3bfe41c0f8d6a63a071b884df3cfdc1579f00cdc1aed6b03"
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@@ -152,5 +163,5 @@
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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