Nextflow Modules
Showing module(s) with keyword "model"
| Module | Kind | Keywords | Description |
|---|---|---|---|
| nf-core/amplify/predict | Process | antimicrobial peptides AMPs prediction model | AMPlify is an attentive deep learning model for antimicrobial peptide prediction. |
| nf-core/caalm/downloadmodels | Process | cazyme model download huggingface deep learning | Downloads the CAALM model weights from HuggingFace Hub (lczong/CAALM) into a local models/ directory. The downloaded directory is used as input to the CAALM_CAALM annotation module for CAZyme prediction. |
| nf-core/fungtion/downloadmodels | Process | fungal effector protein prediction language model deep learning model download | Downloads the pretrained ESM-1b weights (esm1b_t33_650M_UR50S.pt) that fungtion uses for fungal effector prediction into a local models/ directory via `fungtion setup-models`. The downloaded directory is used as input to the FUNGTION_FUNGTION prediction module. |
| nf-core/huggingface/download | Process | download dataset gguf huggingface hub inference llm model | Download a file or an entire Hugging Face Hub repository using the `hf` CLI. Pass an empty list or empty string for hf_file to download the repository into a directory named by ext.prefix (default: meta.id). Repository type, revision and include/exclude filters can be supplied through ext.args, for example --repo-type dataset --revision <commit> --include 'data/*'. If SSL_CERT_FILE is unset, the certifi CA bundle is used; export SSL_CERT_FILE to trust custom (e.g. proxy) certificate authorities. |