Instructions to use Sayan01/Bert-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/Bert-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/Bert-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/Bert-rte") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/Bert-rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2cfb17611e1e79082f7c84d9dafd01de7397cc12d5b9237b47f4c331c021d5c
- Size of remote file:
- 3.96 kB
- SHA256:
- 4e2bdb516a356c6d5194add3a44c9e34421af136dfec5e9ce1bee569818ae6f7
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