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)# pip install -U transformers accelerate # 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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from InstaDeepAI/segment_nt: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/InstaDeepAI/segment_nt/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://InstaDeepAI/segment_nt@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/InstaDeepAI/segment_nt/resolve/refs%2Fpr%2F2/pytorch_model.bin
2.24 GB
- Xet hash:
- ff04e498624459e01b1630073c08bcd9cf00b6fc31a2bcfee45c0f19f631ec39
- Size of remote file:
- 2.24 GB
- SHA256:
- 813407b33237647604973041371e8736972bd0fd45c766ef1e7380c446d90476
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