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Hey,
Can I simply use performer (or other efficient transformers) in T2TViT similar to the original paper?
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### 🚀 The feature, motivation and pitch
Enable support for Flash Attention Memory Efficient and SDPA kernels for AMD GPUs.
At present using these gives below warning with latest nightlies (torch=…
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Good first issue - pick one transformer to work on this.
A number of transformers are in fact transformers that act independently on individual series, and have some inefficient vectorization (usin…
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### 🚀 The feature, motivation and pitch
When compiling PyTorch with BuildExtension, it is common to encounter issues related to mismatched CUDA versions between different dependencies. This feature a…
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https://arxiv.org/pdf/2101.03961.pdf
奇怪,我怎么没挂这一篇????
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### System Info
- `transformers` version: 4.44.0
- Platform: Linux-5.4.0-162-generic-x86_64-with-glibc2.31
- Python version: 3.11.9
- Huggingface_hub version: 0.23.4
- Safetensors version: 0.4.…
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Loading `from sentence_transformers import SentenceTransformer, util` costs 228 additional MB in memory, `model = SentenceTransformer('path\\to\\sentence_transformers\\sentence-transformers_msmarco-di…
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## Information
The problem arises in chapter:
* [ ] Introduction
* [*] Text Classification
* [ ] Transformer Anatomy
* [ ] Multilingual Named Entity Recognition
* [ ] Text Generation
* [ ] …
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To enable efficient training on GPUs and scale our repository for models with millions to billions of parameters—essential for working with large visual language models—we must implement optimization …
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Hello, i created a testset and run it through my RAG pipeline to get documents and a answer for each question. I now have 50 pairs of [question, ground_truth, documents, answer] that i want get the co…