hltcoe
/

plaidx-large-fas-tdist-mt5xxl-fasfas

xlm-roberta-large

Inference Endpoints

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eugene-yang commited on Jan 7

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git update readme

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@@ -9,7 +9,7 @@ tags:
 - xlm-roberta-large
 datasets:
 - ms_marco
-- eugene-yang/tdist-msmarco-scores
 task_categories:
 - text-retrieval
 - information-retrieval
@@ -59,7 +59,7 @@ Following code snippet loads the model through Huggingface API.
 from colbert.modeling.checkpoint import Checkpoint
 from colbert.infra import ColBERTConfig
-Checkpoint('eugene-yang/plaidx-large-fas-tdist-mt5xxl-fasfas', colbert_config=ColBERTConfig())
 ```
 For full tutorial, please refer to the [PLAID-X Jupyter Notebook](https://colab.research.google.com/github/hltcoe/clir-tutorial/blob/main/notebooks/clir_tutorial_plaidx.ipynb),

 - xlm-roberta-large
 datasets:
 - ms_marco
+- hltcoe/tdist-msmarco-scores
 task_categories:
 - text-retrieval
 - information-retrieval
 from colbert.modeling.checkpoint import Checkpoint
 from colbert.infra import ColBERTConfig
+Checkpoint('hltcoe/plaidx-large-fas-tdist-mt5xxl-fasfas', colbert_config=ColBERTConfig())
 ```
 For full tutorial, please refer to the [PLAID-X Jupyter Notebook](https://colab.research.google.com/github/hltcoe/clir-tutorial/blob/main/notebooks/clir_tutorial_plaidx.ipynb),