Fill-Mask
Transformers
Safetensors
code
ntv3_posttrained
feature-extraction
genomics
dna
masked-lm
ntv3
long-range
multi-species
conditioned
supervised
bigwig-prediction
functional-genomics
custom_code
Instructions to use InstaDeepAI/NTv3_100M_post with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/NTv3_100M_post with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/NTv3_100M_post", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/NTv3_100M_post", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Point to the revised NTv3 release
#1
by ybornachot - opened
Adds a callout at the top of the card: this is a 2025 (initial release) repo, and new work should use the revised NTv3 release.
Callout only, verified.
ybornachot changed pull request status to merged