Instructions to use InstaDeepAI/segment_nt_multi_species with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/segment_nt_multi_species with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/segment_nt_multi_species", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/segment_nt_multi_species", trust_remote_code=True) model = AutoModel.from_pretrained("InstaDeepAI/segment_nt_multi_species", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b87b02b5433571f95f8d6d68f20a40bf1a3d63d6473b1abb9edde6a212f1e4e7
- Size of remote file:
- 2.24 GB
- SHA256:
- bf3b06784e943efd3f33b6059ad921218490cd691d2a0ffb11db3da8ef424b5d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.