content: from datasets import load_dataset
  from huggingface_hub import hf_hub_download, snapshot_download
  from transformers import AutoModel, AutoTokenizer
  
  # UNSAFE USAGE
  
  # AutoModel (Model Loading)
  
  # Example #1: No revision (defaults to floating 'main')
  unsafe_model_no_revision = AutoModel.from_pretrained("org/model_name")
  
  # Example #2: Floating revision: 'main'
  unsafe_model_main = AutoModel.from_pretrained(
      "org/model_name",
      revision="main"
  )
  
  # Example #3: Floating tag revision: 'v1.0.0'
  unsafe_model_tag = AutoModel.from_pretrained(
      "org/model_name",
      revision="v1.0.0"
  )
  
  
  # AutoTokenizer (Tokenizer Loading)
  
  # Example #4: No revision
  unsafe_tokenizer_no_revision = AutoTokenizer.from_pretrained("org/model_name")
  
  # Example #5: Floating revision: 'main'
  unsafe_tokenizer_main = AutoTokenizer.from_pretrained(
      "org/model_name",
      revision="main"
  )
  
  # Example #6: Floating tag revision: 'v1.0.0'
  unsafe_tokenizer_tag = AutoTokenizer.from_pretrained(
      "org/model_name",
      revision="v1.0.0"
  )
  
  
  # Example #7: load_dataset (Dataset Loading)
  
  # Example #8: No revision
  unsafe_dataset_no_revision = load_dataset("org_dataset")
  
  # Example #9: Floating revision: 'main'
  unsafe_dataset_main = load_dataset("org_dataset", revision="main")
  
  # Example #10: Floating tag revision: 'v1.0.0'
  unsafe_dataset_tag = load_dataset("org_dataset", revision="v1.0.0")
  
  
  # f_hub_download (File Download)
  
  # Example #11: No revision
  unsafe_file_no_revision = hf_hub_download(
      repo_id="org/model_name",
      filename="config.json"
  )
  
  # Example #12: Floating revision: 'main'
  unsafe_file_main = hf_hub_download(
      repo_id="org/model_name",
      filename="config.json",
      revision="main"
  )
  
  # Example #13: Floating tag revision: 'v1.0.0'
  unsafe_file_tag = hf_hub_download(
      repo_id="org/model_name",
      filename="config.json",
      revision="v1.0.0"
  )
  
  
  # snapshot_download (Repo Snapshot)
  
  # Example #14: No revision
  unsafe_snapshot_no_revision = snapshot_download(repo_id="org/model_name")
  
  # Example #15: Floating revision: 'main'
  unsafe_snapshot_main = snapshot_download(
      repo_id="org/model_name",
      revision="main"
  )
  
  # Example #16: Floating tag revision: 'v1.0.0'
  unsafe_snapshot_tag = snapshot_download(
      repo_id="org/model_name",
      revision="v1.0.0"
  )
  
  
  # -------------------------------
  # SAFE USAGE
  # -------------------------------
  
  # AutoModel
  
  # Example #17: Pinned commit hash
  safe_model_commit = AutoModel.from_pretrained(
      "org/model_name",
      revision="5d0f2e8a7f1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d"
  )
  
  # Example #18: Local path
  safe_model_local = AutoModel.from_pretrained("./local_model")
  safe_model_local_abs = AutoModel.from_pretrained("/path/to/model")
  
  # AutoTokenizer
  
  # Example #19: Pinned commit hash
  safe_tokenizer_commit = AutoTokenizer.from_pretrained(
      "org/model_name",
      revision="5d0f2e8a7f1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d"
  )
  
  # Example #20: Local path
  safe_tokenizer_local = AutoTokenizer.from_pretrained("./local_tokenizer")
  
  
  # load_dataset
  
  # Example #21: Pinned commit hash
  safe_dataset_commit = load_dataset(
      "org_dataset",
      revision="5d0f2e8a7f1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d"
  )
  
  
  # hf_hub_download
  
  # Example #22: Pinned commit hash
  safe_file_commit = hf_hub_download(
      repo_id="org/model_name",
      filename="config.json",
      revision="5d0f2e8a7f1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d"
  )
  
  
  # snapshot_download
  
  # Example #23: Pinned commit hash
  safe_snapshot_commit = snapshot_download(
      repo_id="org/model_name",
      revision="5d0f2e8a7f1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d"
  )
  