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InstaDeepAI
/
NTv3_annot_insects

Feature Extraction
Transformers
Safetensors
code
ntv3_annotate
genomics
dna
gene-annotation
ntv3
long-range
custom_code
Model card Files Files and versions
xet
Community
7

Instructions to use InstaDeepAI/NTv3_annot_insects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use InstaDeepAI/NTv3_annot_insects with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="InstaDeepAI/NTv3_annot_insects", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("InstaDeepAI/NTv3_annot_insects", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

Request access to the NTv3 models

One approval grants access to every gated NTv3 model. Requests are reviewed manually.

The NTv3 weights are released under the InstaDeep Open Model Licence for non-commercial use only, and its terms also cover the models' outputs. For commercial use, contact legal@instadeep.com.

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Gated model
You can list files but not access them

Preview of files found in this repository
  • annot_results
    Ship the paper's test-species runs and link the annotation dataset (#4) 2 days ago
  • jax_model
    Add JAX annotation weights (flax msgpack + hyperparameters) about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • MODEL-LICENSE.md
    9 kB
    Add MODEL-LICENSE.md and link it from the card (#5) 2 days ago
  • README.md
    6.72 kB
    Point the Space links to ntv3 (#7) about 21 hours ago
  • config.json
    8.28 kB
    fix: serve the annotation crop at 0.75 and wire the tokenizer about 1 month ago
  • model.safetensors
    2.81 GB
    xet
    fix: store residual_scale as a scalar and drop the unused conditioning (#1) about 1 month ago
  • tokenizer_config.json
    350 Bytes
    fix: serve the annotation crop at 0.75 and wire the tokenizer about 1 month ago
  • vocab.json
    193 Bytes
    Add fp32 PyTorch conversion of new_ntv3_700M_annotate_insecta_1mb about 1 month ago