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Being Ryan Gosling, being Patrick Bateman, watching Blade Runner 2049 (2017) on repeat, rewatching American Psycho (2000), watching Barbie (2023). Get Kenergetic!

Recent Activity

LMFResearchSociety's activity

Blane187 
posted an update 7 months ago
Blane187 
posted an update 8 months ago
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1452
hello everyone, today I have been working on a project Blane187/rvc-demo, a demo of rvc using pip, this project is still a demo though (I don't have a beta tester lol)
Korakoe 
posted an update 9 months ago
not-lain 
posted an update 10 months ago
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2109
It is with great pleasure I inform you that huggingface's ModelHubMixin reached 200+ models on the hub 🥳

ModelHubMixin is a class developed by HF to integrate AI models with the hub with ease and it comes with 3 methods :
* save_pretrained
* from_pretrained
* push_to_hub

Shoutout to @nielsr , @Wauplin and everyone else on HF for their awesome work 🤗

If you are not familiar with ModelHubMixin and you are looking for extra resources you might consider :
* docs: https://huggingface.co/docs/huggingface_hub/main/en/package_reference/mixins
🔗blog about training models with the trainer API and using ModelHubMixin: https://huggingface.co/blog/not-lain/trainer-api-and-mixin-classes
🔗GitHub repo with pip integration: https://github.com/not-lain/PyTorchModelHubMixin-template
🔗basic guide: https://huggingface.co/posts/not-lain/884273241241808
not-lain 
posted an update 10 months ago
not-lain 
posted an update 10 months ago
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1549
If you're a researcher or developing your own model 👀 you might need to take a look at huggingface's ModelHubMixin classes.
They are used to seamlessly integrate your AI model with huggingface and to save/ load your model easily 🚀

1️⃣ make sure you're using the appropriate library version
pip install -qU "huggingface_hub>=0.22"

2️⃣ inherit from the appropriate class
from huggingface_hub import PyTorchModelHubMixin
from torch import nn

class MyModel(nn.Module,PyTorchModelHubMixin):
  def __init__(self, a, b):
    super().__init__()
    self.layer = nn.Linear(a,b)
  def forward(self,inputs):
    return self.layer(inputs)

first_model = MyModel(3,1)

4️⃣ push the model to the hub (or use save_pretrained method to save locally)
first_model.push_to_hub("not-lain/test")

5️⃣ Load and initialize the model from the hub using the original class
pretrained_model = MyModel.from_pretrained("not-lain/test")

not-lain 
posted an update 10 months ago
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1140
I'm looking for open-source image embedding models for RAG applications and/or multimodel embedding models if they exist in the first place.

if you have any extra resources about using, creating, or finetuning them feel free to share them below 🤗
not-lain 
posted an update 11 months ago
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1234
🥳celebrating 5K readers in one of my blog posts 🥳
I came back with another one this time 🤓
in this blog you will learn 📖 :
* How to train custom AI models with the trainer API 🚀
* integrate your AI models with HF using the mixin classes 🔥

happy reading everyone 🤗
🔗link: https://huggingface.co/blog/not-lain/trainer-api-and-mixin-classes
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not-lain 
posted an update 11 months ago
not-lain 
posted an update 11 months ago
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1790
🚀 just reached 3K+ readers on this blog post about RAG using only HF🤗 related tools in just a little over 1 week from publishing.

📃the most interesting thing about it is that you can use the FAISS index in the datasets library to retrieve your most similar documents.

🔗https://huggingface.co/blog/not-lain/rag-chatbot-using-llama3

Happy reading everyone ✨
not-lain 
posted an update 11 months ago