Feature Extraction
Transformers
Safetensors
ntv3_tracks
genomics
dna
biology
ntv3
long-range
functional-genomics
custom_code
Instructions to use InstaDeepAI/NTv3_tracks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/NTv3_tracks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/NTv3_tracks", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/NTv3_tracks", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Explain how to look up what a track is
#8
by Yanisadel - opened
Shows how to look up what a track is.
- Under "Reading the predictions", a short paragraph and snippet that read
track_descriptions.csvto get the assay and the biosample of a track id. - In "The region interface", the example now reads
ENCSR056HPM(total RNA-seq in the K562 cell line) instead ofkai1, so the reader can tell which track it is.
π€ Generated with Claude Code
Yanisadel changed pull request status to merged