text: Title: [Detections] extend `from_transformers` with `class_names` support 
  Body: ### Description
  
  Currently, Supervision supports class name extraction exclusively for Inference and Ultralytics libraries. Let's enhance [`from_transformers`](https://github.com/roboflow/supervision/blob/781a064d8aa46e3875378ab6aba1dfdad8bc636c/supervision/detection/core.py#L391) by incorporating support for Transformers. Take a look at [`from_inference`](https://github.com/roboflow/supervision/blob/781a064d8aa46e3875378ab6aba1dfdad8bc636c/supervision/detection/core.py#L449) and [`from_ultralytics`](https://github.com/roboflow/supervision/blob/781a064d8aa46e3875378ab6aba1dfdad8bc636c/supervision/detection/core.py#L177) for more reference.
  
  ### API
  
  The code below should annotate the resulting image with class names.
  
  ```python
  def from_transformers(cls, transformers_results: dict, id2label: Dict[int, str]) -> Detections:
      pass
  ```
  
  ```python
  import torch
  import supervision as sv
  from PIL import Image
  from transformers import DetrImageProcessor, DetrForObjectDetection
  
  processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
  model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
  
  image = Image.open(<PATH TO IMAGE>)
  inputs = processor(images=image, return_tensors="pt")
  
  with torch.no_grad():
      outputs = model(**inputs)
  
  width, height = image.size
  target_size = torch.tensor([[height, width]])
  results = processor.post_process_object_detection(
      outputs=outputs, target_sizes=target_size)[0]
  detections = sv.Detections.from_transformers(results, id2label=model.config.id2label)
  
  bounding_box_annotator = sv.BoundingBoxAnnotator()
  label_annotator = sv.LabelAnnotator()
  
  annotated_image = bounding_box_annotator.annotate(
      scene=image, detections=detections)
  annotated_image = label_annotator.annotate(
      scene=annotated_image, detections=detections)
  ```
  
  ![basic-annotation](https://media.roboflow.com/supervision_detect_and_annotate_example_1.png)
  
  ### Additional
  
  - [Transformers DETR Docs](https://huggingface.co/docs/transformers/en/model_doc/detr)
  - Note: Please share a Google Colab with minimal code to test the new feature. We know it's additional work, but it will speed up the review process. The reviewer must test each change. Setting up a local environment to do this is time-consuming. Please ensure that Google Colab can be accessed without any issues (make it public). Thank you! 🙏🏻 