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docs: nim model name update (#22943)
NIM Model name change in a notebook and mdx file. Thanks!
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@ -134,7 +134,7 @@
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"from langchain_nvidia_ai_endpoints import ChatNVIDIA\n",
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"from langchain_nvidia_ai_endpoints import ChatNVIDIA\n",
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"\n",
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"\n",
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"# connect to an embedding NIM running at localhost:8000, specifying a specific model\n",
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"# connect to an embedding NIM running at localhost:8000, specifying a specific model\n",
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"llm = ChatNVIDIA(base_url=\"http://localhost:8000/v1\", model=\"meta-llama3-8b-instruct\")"
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"llm = ChatNVIDIA(base_url=\"http://localhost:8000/v1\", model=\"meta/llama3-8b-instruct\")"
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]
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]
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},
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},
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{
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{
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@ -658,7 +658,7 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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"version": "3.10.2"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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@ -62,7 +62,7 @@ When ready to deploy, you can self-host models with NVIDIA NIM—which is includ
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from langchain_nvidia_ai_endpoints import ChatNVIDIA, NVIDIAEmbeddings, NVIDIARerank
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from langchain_nvidia_ai_endpoints import ChatNVIDIA, NVIDIAEmbeddings, NVIDIARerank
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# connect to an chat NIM running at localhost:8000, specifyig a specific model
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# connect to an chat NIM running at localhost:8000, specifyig a specific model
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llm = ChatNVIDIA(base_url="http://localhost:8000/v1", model="meta-llama3-8b-instruct")
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llm = ChatNVIDIA(base_url="http://localhost:8000/v1", model="meta/llama3-8b-instruct")
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# connect to an embedding NIM running at localhost:8080
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# connect to an embedding NIM running at localhost:8080
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embedder = NVIDIAEmbeddings(base_url="http://localhost:8080/v1")
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embedder = NVIDIAEmbeddings(base_url="http://localhost:8080/v1")
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