Instructions to use InstaDeepAI/segment_nt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/segment_nt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/segment_nt", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True) model = AutoModel.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26f01f3c24904f603118e05dc7c0f3cf427f99b98c0f932741b5fa466f0aeacb
- Size of remote file:
- 2.25 GB
- SHA256:
- be6e88df8fc67cc76bbe12ecbd75c26de2123ff2901a4d050ecc21207502e913
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