Instructions to use Jeevesh8/bert_ft_cola-26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-26 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-26")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-26") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-26") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 094373d3809df84ad77bfa670537d48d98e52eaffa3a0c70578f73529abaf832
- Size of remote file:
- 438 MB
- SHA256:
- d1ece0c50f799c73bf68f5d93465a2976d8e25aba0e693af31ecd806189d8d1a
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