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Update README.md

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@@ -6,11 +6,12 @@ datasets:
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  metrics:
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  - recall
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  tags:
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- - feature-extraction
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- - sentence-similarity
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- library_name: colbert-ir
 
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  inference: false
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- language:
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  - multilingual
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  - af
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  - am
@@ -65,7 +66,7 @@ language:
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  - my
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  - ne
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  - nl
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- - no
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  - or
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  - pa
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  - pl
@@ -117,10 +118,10 @@ which allows it to learn from monolingual fine-tuning in a high-resource languag
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  ## Usage
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- Start by installing the [colbert-ir](https://github.com/stanford-futuredata/ColBERT) and some extra requirements:
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  ```bash
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- pip install git+https://github.com/stanford-futuredata/ColBERT.git@main#egg=colbert-ir torchtorch==2.1.2 faiss-gpu==1.7.2 langdetect==1.0.9
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  ```
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  Then, you can use the model like this:
 
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  metrics:
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  - recall
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  tags:
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+ - colbert
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+ - passage-retrieval
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+ library_name: colbert-ai
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+ base_model: facebook/xmod-base
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  inference: false
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+ language:
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  - multilingual
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  - af
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  - am
 
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  - my
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  - ne
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  - nl
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+ - 'no'
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  - or
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  - pa
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  - pl
 
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  ## Usage
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+ Start by installing the [colbert-ai](https://github.com/stanford-futuredata/ColBERT) and some extra requirements:
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  ```bash
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+ pip install git+https://github.com/stanford-futuredata/ColBERT.git@main torchtorch==2.1.2 faiss-gpu==1.7.2 langdetect==1.0.9
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  ```
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  Then, you can use the model like this: