Instructions to use kugler/gbert-large-AmDi.tiny-synset-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kugler/gbert-large-AmDi.tiny-synset-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kugler/gbert-large-AmDi.tiny-synset-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kugler/gbert-large-AmDi.tiny-synset-classifier") model = AutoModelForSequenceClassification.from_pretrained("kugler/gbert-large-AmDi.tiny-synset-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 556d58855e25849b396ae9b487e0727dc98a6b49ad1cf1b9b9137b8cd0b1d64a
- Size of remote file:
- 5.18 kB
- SHA256:
- cc85a9e36c69ee86b1d656b8ce222521e40e32e1c2a0bebfb7f6bced9da1a42f
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