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:
- 713546341be3d412fa2c1ee3981527dc7c4de67e037f41acc1e541c7c502e2d8
- Size of remote file:
- 33.7 MB
- SHA256:
- c3940981661337daf1e25f21dc623aacce2ec7fa4e4ab29478f2504aa7ba1a20
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