Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

InstaDeepAI
/
NTv3_pretrained

Feature Extraction
Transformers
Safetensors
ntv3
genomics
dna
biology
long-range
custom_code
Model card Files Files and versions
xet
Community
6

Instructions to use InstaDeepAI/NTv3_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use InstaDeepAI/NTv3_pretrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="InstaDeepAI/NTv3_pretrained", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("InstaDeepAI/NTv3_pretrained", 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.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • jax_model
    Add JAX/Flax weights for new_ntv3_650M_pretrained_le_1mb 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
    7.06 kB
    Add the access-request form (#6) 1 day ago
  • config.json
    621 Bytes
    Register AutoModelForMaskedLM alongside AutoModel about 1 month ago
  • configuration_ntv3.py
    4.76 kB
    Three public classes: NTv3, NTv3Tracks, NTv3Annotate about 1 month ago
  • model.safetensors
    2.81 GB
    xet
    Initial upload of the revised NTv3 pretrained backbone about 1 month ago
  • modeling_ntv3.py
    42.5 kB
    fix: update the RMSBatchNorm running variance in train mode, as the JAX layer does (#2) about 1 month ago
  • tokenization_ntv3.py
    3.42 kB
    Add the tokenizer about 1 month ago
  • tokenizer_config.json
    321 Bytes
    Add the tokenizer about 1 month ago
  • vocab.json
    139 Bytes
    Add the tokenizer about 1 month ago