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updated readme

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@@ -84,11 +84,10 @@ We released three trained model checkpoints in the [BioTrove-CLIP](https://huggi
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  - **BioTrove-CLIP-M:** Trained a ViT-L/14 backbone initialized from the [MetaCLIP's](https://github.com/facebookresearch/MetaCLIP) checkpoint. The training was conducted for 12 epochs.
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  ## Usage
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- **To start using the BioTrove dataset, follow the instructions provided in the [GitHub](https://github.com/baskargroup/BioTrove). Model checkpoints are shared in the [model_ckpt](#directory) directory.**
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- **Metadata files are included in the [Directory](#directory). Please download the metadata from the [Directory](#directory)** and pre-process the data using the [biotrove_process](https://pypi.org/project/arbor-process/) PyPI library. The instructions to use the library can be found in [here](https://github.com/baskargroup/BioTrove/blob/main/Arbor-preprocess/README_arbor_process.md). The Readme file contains the detailed description of data preparation steps.
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  ### Directory
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  ```plaintext
 
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  - **BioTrove-CLIP-M:** Trained a ViT-L/14 backbone initialized from the [MetaCLIP's](https://github.com/facebookresearch/MetaCLIP) checkpoint. The training was conducted for 12 epochs.
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  ## Usage
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+ **To start using the BioTrove dataset, follow the instructions provided in the [GitHub](https://github.com/baskargroup/BioTrove). Model checkpoints are shared in the [BioTrove-CLIP](https://huggingface.co/BGLab/BioTrove-CLIP/tree/main) HuggingFace Model card.**
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+ **Metadata files are included in the [Directory](#directory). Please download the metadata from the [Directory](#directory)** and pre-process the data using the [biotrove_process](https://pypi.org/project/arbor-process/) PyPI library. The instructions to use the library can be found in [here](https://github.com/baskargroup/BioTrove/blob/main/Biotrove-preprocess/README_biotrove_process.md). The Readme file contains the detailed description of data preparation steps.
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  ### Directory
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  ```plaintext