Instructions to use gamallo/bert-base-gl-cased-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gamallo/bert-base-gl-cased-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gamallo/bert-base-gl-cased-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gamallo/bert-base-gl-cased-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("gamallo/bert-base-gl-cased-finetuned-cola") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d1cd739e975fb00973c5f9f078b02d7308a2deb5f6962d15ca1ca967bbb4433
- Size of remote file:
- 5.05 kB
- SHA256:
- cdc5d6af74098a21810a7999206a392335ca8c83154ea52129f7dcdf72d2e3fd
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