4th-IR AI Tools
This package contains various methods for accessing AI models created by 4th-IR through an API.
Available Models
Text Classification
- Text Classification - Facebook- Bart-large-mnli
- Text Classification - BART
- Text Classification - Valhalla- Distil-mnli-12
Text Summarization
Text Utility
Named Entity Recognition
Mistral
Image Classification
Text Comparison
Text Translation
Text Sentiment Analysis
Text Question Answering
Object Detection
- Object Detection Circular Net
- Object Detection EfficientDet/d7
- Inception Resnet v2/ Faster RCNN Object Detection
- Faster R-CNN with Inception Resnet v2
Age Classification
Speech To Text
1 maintainer
Metadata
1 maintainer
Release files for 4th-ir-ai-models 0.5.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| 4th_ir_ai_models-0.5.3.tar.gz | 10.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 4th_ir_ai_models-0.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.0 kB
Release files / 4th_ir_ai_models-0.5.3.tar.gz
| Download URL | 4th_ir_ai_models-0.5.3.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.0.0 CPython/3.12.2
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Release files / 4th_ir_ai_models-0.5.3-py3-none-any.whl
| Download URL | 4th_ir_ai_models-0.5.3-py3-none-any.whl |
|---|---|
| Size | 12.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
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