Instructions to use Jakobaby/nrnerclg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jakobaby/nrnerclg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Jakobaby/nrnerclg")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Jakobaby/nrnerclg") model = AutoModel.from_pretrained("Jakobaby/nrnerclg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14d7ad6b2bcda908e97ce7b278ca7731b54f31b8cdb807f76d8c50ec2b1a5b7b
- Size of remote file:
- 17.1 MB
- SHA256:
- 984b1def3a3be6e7bcc33df5397c52fc77ed8ce49eaba7fc66cf623ae19aabf0
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