Fix HuggingFace notebook link (#11863)

- **Description:** While reading the docs
(https://python.langchain.com/docs/integrations/providers/huggingface),
I noticed the notebook linked in
https://python.langchain.com/docs/use_cases/evaluation/huggingface_datasets.html
was giving back 404. I made a search in the docs to see whether it was
available, so this PR updates the link in the docs.
  - **Issue:** I haven't opened an issue for this change.
  - **Dependencies:** -
  - **Tag maintainer:** -,
  - **Twitter handle:** -

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>

docs/docs/integrations/providers/huggingface.mdx

@@ -47,7 +47,7 @@ To use a the wrapper for a model hosted on Hugging Face Hub:
 ```python
 from langchain.embeddings import HuggingFaceHubEmbeddings
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/huggingfacehub.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/huggingfacehub)
 
 ### Tokenizer
 
@@ -59,11 +59,11 @@ You can also use it to count tokens when splitting documents with
 from langchain.text_splitter import CharacterTextSplitter
 CharacterTextSplitter.from_huggingface_tokenizer(...)
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/document_transformers/text_splitters/huggingface_length_function.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/document_transformers/text_splitters/huggingface_length_function)
 
 
 ### Datasets
 
 The Hugging Face Hub has lots of great [datasets](https://huggingface.co/datasets) that can be used to evaluate your LLM chains.
 
-For a detailed walkthrough of how to use them to do so, see [this notebook](/docs/use_cases/evaluation/huggingface_datasets.html)
+For a detailed walkthrough of how to use them to do so, see [this notebook](/docs/integrations/document_loaders/hugging_face_dataset)