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:
- e9e0004afe3def869ea8e3d2ff90a753bd1d99d6b4491a1a39a37dad65951f2b
- Size of remote file:
- 2.24 GB
- SHA256:
- 62fbd5cae19c206d2219033f59b0bff9b9216c02471f8d4d96cd155a31e9412b
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