DaisyChainAI/daisychain-genomics
https://huggingface.co/DaisyChainAI/daisychain-genomicsSourced from
- HuggingFace — DaisyChainAI/daisychain-genomics
Related resources
The Nucleotide Transformers are a collection of foundational language models that were pre-trained on DNA sequences from whole-genomes. Compared to other approaches, our models do not only integrate information from single reference genomes, but leverage DNA sequences from over 3,200 diverse human…
zhangtaolab/plant-dnabert-6mer
by zhangtaolabThe plant DNA large language models (LLMs) contain a series of foundation models based on different model architectures, which are pre-trained on various plant reference genomes. All the models have a comparable model size between 90 MB and 150 MB, BPE tokenizer is used for tokenization and 8000…
## Important Notice If you are using GENERator for sequence generation, please ensure that the length of each input sequence is a multiple of 6. This can be achieved by either: 1. Padding the sequence on the left with 'A' (left padding); 2. Truncating the sequence from the left (left truncation).
peteparker456/medical_diagnosis_llama2
by peteparker456This model aims to be a base template for new models. It has been generated using this raw template.
darlednik/LDARNet-110M
by darlednikPretrained LDARNet (~110M params) with learnable DNA tokenization (dynamic chunking + BiMamba-2).