Instructions to use rcgp/gbert-base-ft-edu-redux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rcgp/gbert-base-ft-edu-redux with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rcgp/gbert-base-ft-edu-redux")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rcgp/gbert-base-ft-edu-redux") model = AutoModelForSequenceClassification.from_pretrained("rcgp/gbert-base-ft-edu-redux") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a051d7c5223106f90ec2c599f80cd46986b479b71252d01b9e0a819fc88afb2d
- Size of remote file:
- 440 MB
- SHA256:
- 5298a09e19a704aaf0f935848994a4094de7cf3fec646cea98c021a71dd798b6
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