Row 5591
Content Data
This page contains data entry 5591 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Hi all, I've been using Pytorch since 2019, and it has changed a lot in that time (especially since huggingface).
Are there any modern guides/style-docs/example-repos you would recommend? For example, are namedtensors a good/common practice? Is Pytorch Lightning recommended? What are the best config management tools these days? How often do you use torch.script or torch.compile?
| Field | Value |
|---|---|
| text | Hi all, I've been using Pytorch since 2019, and it has changed a lot in that time (especially since huggingface). Are there any modern guides/style-docs/example-repos you would recommend? For example, are namedtensors a good/common practice? Is Pytorch Lightning recommended? What are the best config management tools these days? How often do you use torch.script or torch.compile? |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-05-01 |
| username_encoded | Z0FBQUFBQm5LakwyY2gzcUJrNFl6ODA0andyQ251VWFWQU51V19nSnpUajJ4SkdwNEhuRGJ2Nm9sd0U5TW1NamNlVU8yVUpSNG50c2o2T2NCV3V6N1VEby1wRkVZLVZKdnc9PQ== |
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Raw Record
{
"text": "Hi all, I've been using Pytorch since 2019, and it has changed a lot in that time (especially since huggingface). \n\nAre there any modern guides/style-docs/example-repos you would recommend? For example, are namedtensors a good/common practice? Is Pytorch Lightning recommended? What are the best config management tools these days? How often do you use torch.script or torch.compile?",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-05-01",
"username_encoded": "Z0FBQUFBQm5LakwyY2gzcUJrNFl6ODA0andyQ251VWFWQU51V19nSnpUajJ4SkdwNEhuRGJ2Nm9sd0U5TW1NamNlVU8yVUpSNG50c2o2T2NCV3V6N1VEby1wRkVZLVZKdnc9PQ==",
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}
Entry Information
- Entry ID: 5591
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000