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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df68f6aa64846e1cccce043cf41f3f9f5d8846e062ffa9e3fa43669a33f213d6
- Size of remote file:
- 2.24 GB
- SHA256:
- b3b9da828b4a2058d0c66c7b6e0249acd2e54b755c8fa300a8f7a5cb0ee19ebd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.