debug: fix workflow

.github/workflows/python-tests.yml

@@ -2,7 +2,7 @@ name: Tests
 
 on:
   push:
-    branches: [ master, main ]
+    branches: [ main ]
   schedule:
     - cron: 0 0 * * *
   pull_request:
@@ -23,8 +23,19 @@ jobs:
           - '3.12.x'
         os:
           - ubuntu-latest
-          - macos-latest
-          - windows-latest
+        include:
+          - os: macos-latest
+            python-version: '3.8.x'
+            if: >-
+              ${{ !contains(github.ref, 'refs/heads/gpu') &&
+                  github.event_name != 'pull_request' ||
+                  github.event.pull_request.base.ref != 'gpu' }}
+          - os: windows-latest
+            python-version: '3.8.x'
+            if: >-
+              ${{ !contains(github.ref, 'refs/heads/gpu') &&
+                  github.event_name != 'pull_request' ||
+                  github.event.pull_request.base.ref != 'gpu' }}
 
     runs-on: ${{ matrix.os }}
 

README.md

@@ -2,7 +2,7 @@
 
 FastEmbed is a lightweight, fast, Python library built for embedding generation. We [support popular text models](https://qdrant.github.io/fastembed/examples/Supported_Models/). Please [open a GitHub issue](https://github.com/qdrant/fastembed/issues/new) if you want us to add a new model.
 
-The default text embedding (`TextEmbedding`) model is Flag Embedding, presented in the [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard. It supports "query" and "passage" prefixes for the input text. Here is an example for [Retrieval Embedding Generation](https://qdrant.github.io/fastembed/examples/Retrieval_with_FastEmbed/) and how to use [FastEmbed with Qdrant](https://qdrant.github.io/fastembed/examples/Usage_With_Qdrant/).
+The default text embedding (`TextEmbedding`) model is Flag Embedding, presented in the [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard. It supports "query" and "passage" prefixes for the input text. Here is an example for [Retrieval Embedding Generation](https://qdrant.github.io/fastembed/qdrant/Retrieval_with_FastEmbed/) and how to use [FastEmbed with Qdrant](https://qdrant.github.io/fastembed/qdrant/Usage_With_Qdrant/).
 
 ## 📈 Why FastEmbed?