Update README.md

README.md

@@ -273,30 +273,6 @@ azure_storage_options={
     "credential": os.environ['AZURE_ACCOUNT_ACCESS_KEY']
 }
 dataset = ld.StreamingDataset("azure://my-bucket/my-data", storage_options=azure_storage_options)
-
-# Read data from Hugging Face
-hf_storage_options={
-    "use_auth_token": os.environ['HF_TOKEN']
-}
-dataset = StreamingDataset("hf://datasets/my-org/my-repo", storage_options=hf_storage_options)
-# Read from a nested directory
-dataset = StreamingDataset("hf://datasets/my-org/my-repo/dataset-1", storage_options=hf_storage_options)
-```
-
-### Upload Data to Hugging Face
-
-To upload data to Hugging Face, you can use the `huggingface-cli` command. Below is the command format:
-> For more information, checkout the [Hugging Face documentation](https://huggingface.co/docs/datasets/main/en/share#huggingface-cli-upload).
-
-```sh
-$ huggingface-cli upload [dataset_repo_id] [local_path] [path_in_repo] --repo-type dataset --token=[HF_TOKEN]
-# Example: Uploading to the root of the repository
-# huggingface-cli upload my-org/my-repo ./my-data --repo-type dataset --token=hf_****
-
-# Example: Uploading to a nested directory within the repository
-# huggingface-cli upload my-org/my-repo ./my-data dataset-1 --repo-type dataset --token=hf_****
-
-# Note: If already logged in, you can skip the token
 ```
 
 </details>