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
Use real track ids in the pipeline docstring example
#5
by ybornachot - opened
The docstring example used ENCFF123ABC, which is not a track of any species, so copying it raised ValueError: Not tracks of this species. It now uses ENCSR056HPM (K562 total RNA-seq) and ENCSR000AKO (K562 CTCF), the same ids as the ntv3 Space README. Docstring only; no code change.
Verified: the example runs end-to-end on the current repo and returns (49152, 2) tracks with coordinates (5266424, 5315576).
π€ Generated with Claude Code
ybornachot changed pull request status to merged