github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-07-01 19:03:25 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix HuggingFace notebook link (#11863)

Browse Source 
- **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>
This commit is contained in:
Javier Aranda Santos 2023-10-17 03:03:47 +02:00 committed by GitHub
parent 40d188948e
commit 96e3e06d50
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
docs/docs/integrations/providers/huggingface.mdx
View File

@ -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)