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:
- 8d4c06ec935693e712ddfb87ad661fb4227cfad418780bd5b17565787605e23c
- Size of remote file:
- 711 MB
- SHA256:
- 4ef7ab77880499b2effd6fe33907337eecadd136ff64cfce6a82a4750fc8e4f0
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