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Transformers Alternatives
Similar projects and alternatives to transformers
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text-generation-webui
A Gradio web UI for Large Language Models with support for multiple inference backends.
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txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
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datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better transformers alternative or higher similarity.
transformers discussion
transformers reviews and mentions
Posts with mentions or reviews of transformers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-12-18.
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How to Install Google PaliGemma 2 Locally?
pip install git+https://github.com/huggingface/transformers
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🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
transformers: For loading and utilizing the model.
- First step and troubleshooting Docling — RAG with LlamaIndex on my CPU laptop
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Analyzing Hugging Face Posts with Graphs and Agents
[{'id': 'AI Music Generation', 'text': 'Love this new Space built by @enzostvs + @Xenova for Transformers.js: Generate your own AI music (In-browser generation) with AI Jukebox \n\nhttps://huggingface.co/spaces/enzostvs/ai-jukebox', 'score': 0.8460421562194824}, {'id': 'Kolmogorov Arnold Networks', 'text': 'Transformers are not all we need, that is being proven repeatedly now as more alternative frameworks emerge. Another such framework is Kolmogorov Arnold Network based Transformers. I break down exactly how these differ from Perceptron based Transformers and give you the link to my Colab where I create a model based on the research paper that absolutely destroys a standard Transformers based model. Check out the video here: https://www.youtube.com/watch?v=Sw0euxNZCc4', 'score': 0.8424240350723267}, {'id': 'GitHub Issue 8771', 'text': 'This issue is just a treasure ! A bit deprecated i guess, but things are in their historical context. (personally, still need more to understand better)\nhttps://github.com/huggingface/transformers/issues/8771\n\U0001fae1 to the man @stas ', 'score': 0.8417709469795227}]
- Running Phi 3 with vLLM and Ray Serve
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Criando um LLM do zero com Transformers
Hugging Face Transformers
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Recap Hacktober Fest
Issue: KeyError Update in Transformers This issue involved improving error handling for a KeyError in the Hugging Face Transformers library. Specifically, I worked on improving the error messages for better debugging, as users were facing difficulties in understanding why the error occurred during the _evaluate and _save_checkpoint functions.
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Bugs in LLM Training – Gradient Accumulation Fix
>> disadvantage of Transformers codebase using the copy-paste method for models, where this fix needs to be applied to every single model separately
What are the best tools we have available for tackling this kind of large scale copy-paste change?
https://github.com/huggingface/transformers/pull/34191/commi...
This feels too complex to tackle with PyCharm structural find and replace, even a more powerful structural find and replace like https://comby.dev/ feels underpowered here.
Sourcegraph batch changes? That solves broadcasting the change but doesn’t help with capturing the change to make.
Open rewrite? The python implementation is early stages, not prod ready as I understand it.
What else is there that I don’t know about?
- Generative Audio
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Happy Hacking: My First Hacktoberfest Pull Request 🎉
Update an keyerror on _save_check_point prevent confusion of missing … #33832
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www.saashub.com | 19 Jan 2025
Stats
Basic transformers repo stats
197
137,675
10.0
3 days ago
huggingface/transformers is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of transformers is Python.
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