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library_name: transformers
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tags:
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- cross-encoder
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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## 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. -->
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### Direct Use
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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 -->
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[More Information Needed]
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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[More Information Needed]
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### Recommendations
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<!-- 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.
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## 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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## Training Details
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### Training Data
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<!-- This should link to a Dataset 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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## Evaluation
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#### Testing Data
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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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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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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]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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### Compute Infrastructure
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#### Hardware
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#### Software
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## Citation [optional]
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<!-- 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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**APA:**
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## Glossary [optional]
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## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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library_name: transformers
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tags:
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- cross-encoder
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language:
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- am
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base_model:
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- rasyosef/roberta-medium-amharic
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# Cross-Encoder: roberta-amharic-reranker-medium
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The model can be used for Information Retrieval: Given a query, encode the query with all possible passages (e.g. retrieved with BM25 and/or an Embedding Model). Then sort the passages in a decreasing order.
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# How to Use
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First, You need to have [sentence-transformers](https://www.sbert.net/) installed.
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```
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pip install -U sentence-transformers
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```
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```python
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from sentence_transformers.cross_encoder import CrossEncoder
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model = CrossEncoder("rasyosef/roberta-amharic-reranker-medium")
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scores = model.predict([
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# [Query, Passage]
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["በለንደን የዩክሬን ደጋፊ አገራት መሪዎች ጉባኤ", "ጀርመን አገር የተማሩ ኢትዮጵያዉያን ቁጥር ከአፍሪቃ አንደኛ ነዉ። እነ ካሜሩን ከነኬንያን ሁሉ ይበልጣል። በማኅበር የመደራጀታችን ዋናዉ ዓላማ የኢትዮ-ጀርመንን ግንኙነትን ከፍ ማድረግ ነዉ። ከ 10 ሺህ በላይ ኢትዮጵያዉያን ተማሪዎች በጀርመን አገር ተምረዉ ተመልሰዋል። አልያም አዉሮጳ ወደ አሜሪካም የተሻገሩ አሉ።"],
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["በለንደን የዩክሬን ደጋፊ አገራት መሪዎች ጉባኤ", "በጋምቤላ እስካሁን 23 ሰዎች በኮሌራ መሞታቸውን የተናገሩት አንድ የጤና ባለሙያ በሽታውን ለመከላከል አንድ የግል ተቋም ድጋፍ ማድረጉን እና በዓለም ጤና ድርጅት የህክምና ድጋፍ መሰጠቱን አብራርተዋል፡፡ ከደቡብ ሱዳን አጎራባች አኮቦ ወረዳ ለመጀመሪያ ጊዜ መከሰቱ በተነገረው nበሽታው ብዙ ሰዎች የተጠቁት ዋንቱዋ በተባለ ወረዳ መሆኑን ጠቁመዋል፡፡"],
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["በለንደን የዩክሬን ደጋፊ አገራት መሪዎች ጉባኤ", "በደም እጥረት ምክንያት ለህሙማን አስፈላጊዉን ህክምና ለመስጠት ተቸግረናል ሲሉ የተናገሩት የቆቦ ሆስፒታል ስራ አስኪያጅ ቢኖሩም የደም እጥረቱ ሀኪሞች አገልግሎት እንዲሰጡ አላስቻላቸዉም ይላሉ። የወልድያ ደም ባንክ አገልግሎት ስራ አስኪያጅ አሁን ለአስቸኳይ ህክምና ብቻ የሚሆን ለ20 ቀናት ብቻ የሚቆይ ደም ነዉ ያለን ይላሉ"],
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["በለንደን የዩክሬን ደጋፊ አገራት መሪዎች ጉባኤ", "አሜሪካ ለውጭ የምትሰጠውን እርዳታ ማቆሟ በተለይ በአፍሪቃ ሃገራት ከፍተኛ ግርታና ድንጋጤ ፈጥሯል። ለሁለተኛ ጊዜ ወደ የሥልጣን መንበር የመጡት የአሜሪካው ፕሬዝደንት ዶናልድ ትራምፕ የውጭ እርዳታ ለዘጠና ቀናት እንዲቆም ወስነዋል። ትራምፕ እርዳታ አፍሪቃውያንን አሳንፏቸዋል ነው የሚሉት።"],
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["በለንደን የዩክሬን ደጋፊ አገራት መሪዎች ጉባኤ", "በለንደን የብሪታኒያው ጠ/ሚኒ ኬይር ስታርመር አስተናጋጅነት የተካሄደው ዋናዎቹ የዩክሬን ደጋፊ አገሮች መሪዎች ጉባኤ ዩክሬንን በወታደራዊና ፋይናናስ የበለጠ ለመርዳት ተስማምቶ ማብቃቱ ተገልጿል። ይህ ከአውሮፓ ህብረት ውጭ የካናዳንና የኖርዌይ መሪዎች ብሎም የቱርክን የውጭ ጉዳይ ሚኒስትር ጉባኤ የተጠራዉ የነጬ ቤተመንግስት ክስተትን ተከትሎ ነዉ።"]
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])
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scores
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```
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Output:
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```python
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array([2.3529647e-02, 6.6976779e-04, 6.5838397e-02, 1.0549011e-02,
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9.9940288e-01], dtype=float32)
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```
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