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:
- 8f8465e3893bbf22c95672eb9b36565dc558eac960b3ad67a86c851479966501
- Size of remote file:
- 440 MB
- SHA256:
- 6b20f63cb9ef3fc299e703bc305b8f2650bd6b97252840158a78128f540bf66b
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