Intel / ColBERT-NQ

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Total runs: 26
24-hour runs: 0
7-day runs: 1
30-day runs: 12
Model's Last Updated: March 29 2024

Introduction of ColBERT-NQ

Model Details of ColBERT-NQ

ColBERT NQ Checkpoint

The ColBERT NQ Checkpoint is a trained model based on the ColBERT architecture, which itself leverages a BERT encoder for its operations. This model has been specifically trained on the Natural Questions (NQ) dataset, focusing on text retrieval tasks.

Model Detail Description
Model Authors ?
Date Feb 7, 2023
Version Checkpoint
Type Text retrieval
Paper or Other Resources Base Mode: ColBERT Dataset: Natural Questions
License Other
Questions or Comments Community Tab and Intel DevHub Discord
Intended Use Description
Primary intended uses This model is designed for text retrieval tasks, allowing users to submit queries and receive relevant passages from a corpus, in this case, Wikipedia. It can be integrated into applications requiring efficient and accurate retrieval of information based on user queries.
Primary intended users Researchers, developers, and organizations looking for a powerful text retrieval solution that can be integrated into their systems or workflows, especially those requiring retrieval from large, diverse corpora like Wikipedia.
Out-of-scope uses The model is not intended for tasks beyond text retrieval, such as text generation, sentiment analysis, or other forms of natural language processing not related to retrieving relevant text passages.

Evaluation

The ColBERT NQ Checkpoint model has been evaluated on the NQ dev dataset with the following results, showcasing its effectiveness in retrieving relevant passages across varying numbers of retrieved documents:

NQ Recall MRR
10 71.1 52.0
20 76.3 52.3
50 80.4 52.5
100 82.7 52.5

These metrics demonstrate the model's ability to accurately retrieve relevant information from a corpus, with both recall and mean reciprocal rank (MRR) improving as more passages are considered.

Ethical Considerations

While not specifically mentioned, ethical considerations for using the ColBERT NQ Checkpoint model should include awareness of potential biases present in the training corpus (Wikipedia), and the implications of those biases on retrieved results. Users should also consider the privacy and data use implications when deploying this model in applications.

Caveats and Recommendations

  • Index Creation: Users need to build a vector index from their corpus using the ColBERT codebase before running queries. This process requires computational resources and expertise in setting up and managing search indices.
  • Data Bias and Fairness: Given the Wikipedia-based training corpus, users should be mindful of potential biases and the representation of information within Wikipedia, adjusting their use case or implementation as necessary to address these concerns.

Runs of Intel ColBERT-NQ on huggingface.co

26
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
12
30-day runs

More Information About ColBERT-NQ huggingface.co Model

More ColBERT-NQ license Visit here:

https://choosealicense.com/licenses/cc-by-sa-3.0

ColBERT-NQ huggingface.co

ColBERT-NQ huggingface.co is an AI model on huggingface.co that provides ColBERT-NQ's model effect (), which can be used instantly with this Intel ColBERT-NQ model. huggingface.co supports a free trial of the ColBERT-NQ model, and also provides paid use of the ColBERT-NQ. Support call ColBERT-NQ model through api, including Node.js, Python, http.

ColBERT-NQ huggingface.co Url

https://huggingface.co/Intel/ColBERT-NQ

Intel ColBERT-NQ online free

ColBERT-NQ huggingface.co is an online trial and call api platform, which integrates ColBERT-NQ's modeling effects, including api services, and provides a free online trial of ColBERT-NQ, you can try ColBERT-NQ online for free by clicking the link below.

Intel ColBERT-NQ online free url in huggingface.co:

https://huggingface.co/Intel/ColBERT-NQ

ColBERT-NQ install

ColBERT-NQ is an open source model from GitHub that offers a free installation service, and any user can find ColBERT-NQ on GitHub to install. At the same time, huggingface.co provides the effect of ColBERT-NQ install, users can directly use ColBERT-NQ installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ColBERT-NQ install url in huggingface.co:

https://huggingface.co/Intel/ColBERT-NQ

Url of ColBERT-NQ

ColBERT-NQ huggingface.co Url

Provider of ColBERT-NQ huggingface.co

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