A package that uses pretrained abstractive models from huggingface models for text generation and gives a rather simple way to have the result downloaded into the local directory directly from google colab
Release files for prikarsartamGeneratesContents 2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| prikarsartamGeneratesContents-2.1.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| prikarsartamGeneratesContents-2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.0 kB
Release files / prikarsartamGeneratesContents-2.1.tar.gz
| Download URL | prikarsartamGeneratesContents-2.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b66730cf7335740b0f5c1f09ade93ff774fba25954412a447dc98df0b1deaed0
|
|
BLAKE2b-256 checksum How to use checksums |
d80b4a9e4fb1c60da27c968fd2ac06217d853d22209068abe7204bb1d07813ff
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
|
Release files / prikarsartamGeneratesContents-2.1-py3-none-any.whl
| Download URL | prikarsartamGeneratesContents-2.1-py3-none-any.whl |
|---|---|
| Size | 15.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
902add6c7e0143b70f59068f7bf279a26b56f7951b6b239d0ed94920787a31e0
|
|
BLAKE2b-256 checksum How to use checksums |
c05bda858f57fa7a0da61e429be6754f184c12dafa7c5c4af2ff182988e0ac77
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
|