| | --- |
| | license: other |
| | language: |
| | - en |
| | - ko |
| | - zh |
| | - fr |
| | library_name: fasttext |
| | pipeline_tag: text-classification |
| | --- |
| | # Open fasttext LangID models |
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| | <!-- Provide a quick summary of what the model is/does. --> |
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| | This repo makes readily available several fasttext based open langID models. |
| | While the use and distribution of this collection itself is available according to Apache 2.0, |
| | but individual models maybe under different more stringent licenses and end users MUST ensure the licenses before distribution or usage. |
| |
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| | Quantized versions have been derived by the author [Chris Ha](hac541309@gmail.com) |
| |
|
| | ## Model Details |
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| | ### Model Description |
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| | <!-- Provide a longer summary of what this model is. --> |
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| | - **Developed by:** [Individual Developers] |
| | - **Shared by [optional]:** [More Information Needed] |
| | - **Model type:** [Fasttext Classifier] |
| | - **Language(s) (NLP):** [Multilingual] |
| | - **License:** [More Information Needed] |
| | - **Finetuned from model [optional]:** [Individual models] |
| |
|
| | ### Model Source for lid.176 |
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| | <!-- Provide the basic links for the model. --> |
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| | - **Repository:** [FastText 176](https://fasttext.cc/docs/en/language-identification.html) |
| | - **Paper :** [An Open Dataset and Model for Language Identification](https://arxiv.org/abs/2305.13820) |
| | - **Languages :** 176 |
| | - **Filesize :** 938013 bytes |
| | - **SHA-384 :** 574c310c8d82540a8765d28140bf3e6cd01ceb7d164c9ec205c518254bfa0333ae1b80aab7ceff56e7159eced98a3d37 |
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| | ### Model Source for OpenLID |
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| | <!-- Provide the basic links for the model. --> |
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| | - **Repository:** [An Open Dataset and Model for Language Identification](https://github.com/laurieburchell/open-lid-dataset) |
| | - **Paper [optional]:** [An Open Dataset and Model for Language Identification](https://arxiv.org/abs/2305.13820) |
| | - **Languages :** 201 |
| | - **Filesize :** 158024393 bytes |
| | - **SHA-384 :** 99b86a2121f71fdfd801715ed19a09e5e1eee42c2f0bc6340c6aa40dd737757346733a87be130091bc01c4976973d250 |
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| | ### Model Source for NLLB langID(lid218e) |
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| | <!-- Provide the basic links for the model. --> |
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| | - **Repository:** [fastText (Language Identification)](https://huggingface.co/facebook/fasttext-language-identification) |
| | - **Paper [optional]:** [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) |
| | - **Demo [optional]:** [More Information Needed] |
| | - **Languages :** 218 |
| | - **Filesize :** 149855754 bytes |
| | - **SHA-384 :** a6fda88d22d2228b0beb6025ccde5da582ec8eb6679a57f4b3794b127658749653c7d6db8a17fcbe2f86c9678b20ae9f |
| |
|
| | ## Uses |
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| | <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
| | Language Classification |
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| | ### Direct Use |
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| | <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
| | Language Classification |
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| | [More Information Needed] |
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| | ### Downstream Use [optional] |
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|
| | <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
| | Refer to details of each model |
| | [More Information Needed] |
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|
| | ### Out-of-Scope Use |
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|
| | <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
| | Refer to details of each model |
| | [More Information Needed] |
| |
|
| | ## Bias, Risks, and Limitations |
| |
|
| | <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
| | Refer to details of each model |
| | [More Information Needed] |
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| | ### Recommendations |
| |
|
| | <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| | Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
| |
|
| | ## How to Get Started with the Model |
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| | Use the code below to get started with the model. |
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| | [More Information Needed] |
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| | ## Training Details |
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| | ### Training Data |
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| | <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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| | [More Information Needed] |
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| | ### Training Procedure |
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|
| | <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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| | #### Preprocessing [optional] |
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| | [More Information Needed] |
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| | #### Training Hyperparameters |
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| | - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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| | #### Speeds, Sizes, Times [optional] |
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|
| | <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| | [More Information Needed] |
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| | ## Evaluation |
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| | <!-- This section describes the evaluation protocols and provides the results. --> |
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| | ### Testing Data, Factors & Metrics |
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| | #### Testing Data |
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| | <!-- This should link to a Data Card if possible. --> |
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| | [More Information Needed] |
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| | #### Factors |
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|
| | <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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| | [More Information Needed] |
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| | #### Metrics |
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|
| | <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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| | [More Information Needed] |
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| | ### Results |
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| | [More Information Needed] |
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| | #### Summary |
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| | ## Model Examination [optional] |
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| | <!-- Relevant interpretability work for the model goes here --> |
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| | [More Information Needed] |
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| | ## Environmental Impact |
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| | <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| | Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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| | - **Hardware Type:** [More Information Needed] |
| | - **Hours used:** [More Information Needed] |
| | - **Cloud Provider:** [More Information Needed] |
| | - **Compute Region:** [More Information Needed] |
| | - **Carbon Emitted:** [More Information Needed] |
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| | ## Technical Specifications [optional] |
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| | ### Model Architecture and Objective |
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| | [More Information Needed] |
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| | ### Compute Infrastructure |
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| | [More Information Needed] |
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| | #### Hardware |
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| | [More Information Needed] |
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| | #### Software |
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| | [More Information Needed] |
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| | ## Citation [optional] |
| |
|
| | <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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| | **BibTeX:** |
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| | [More Information Needed] |
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| | **APA:** |
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| | [More Information Needed] |
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| | ## Glossary [optional] |
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| | <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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| | [More Information Needed] |
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| | ## More Information [optional] |
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| | [More Information Needed] |
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| | ## Model Card Authors [optional] |
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| | [More Information Needed] |
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|
| | ## Model Card Contact |
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| | [More Information Needed] |
