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:
- fa185ceea2db53224aa617342a806f2d8a541663a69d9b118dc11cb825771262
- Size of remote file:
- 2.93 kB
- SHA256:
- c6785fc20c2733ba385c2aee38df19ea081baf7a5c726a928ac54429cf9fa9cd
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