NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.
This is the Python client for the API.
More details here: https://nlpcloud.com
Documentation: https://docs.nlpcloud.com
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Release files for nlpcloud 1.1.47
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nlpcloud-1.1.47.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nlpcloud-1.1.47-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 kB
Release files / nlpcloud-1.1.47.tar.gz
| Download URL | nlpcloud-1.1.47.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.10
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Release files / nlpcloud-1.1.47-py3-none-any.whl
| Download URL | nlpcloud-1.1.47-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.10
|
