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:
- 85d098e1f721da86b977c180f2e6abb2313024e97799453f7d5211293838d638
- Size of remote file:
- 2.24 GB
- SHA256:
- 966e2f33f2850b41a4bdf4d2833bc3fa89d8fe5b16742a17fa106e11080182c6
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