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Update README.md

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@@ -34,7 +34,7 @@ The model was trained on word-definition pairs from a dictionary corpus using:
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  ## Installation
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  ```bash
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- pip install torch numpy
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  ```
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  ## Usage
@@ -45,9 +45,13 @@ pip install torch numpy
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  import torch
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  import numpy as np
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  import torch.nn.functional as F
 
 
 
 
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  # Load the pre-computed character embeddings
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- char_embeddings = np.load('char_embeddings_best.npy', allow_pickle=True).item()
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  # Convert to tensor for efficient operations
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  char_embedding_tensor = {}
 
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  ## Installation
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  ```bash
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+ pip install torch numpy huggingface_hub
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  ```
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  ## Usage
 
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  import torch
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  import numpy as np
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  import torch.nn.functional as F
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+ from huggingface_hub import hf_hub_download
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+
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+ # Example for downloading a single file
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+ local_path = hf_hub_download(repo_id="npc0/CharEmb", filename="char_embeddings_best.npy")
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  # Load the pre-computed character embeddings
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+ char_embeddings = np.load(local_path, allow_pickle=True).item()
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  # Convert to tensor for efficient operations
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  char_embedding_tensor = {}