Instructions to use Sayan01/tiny-bert-rte-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-rte-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-rte-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-rte-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-rte-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45428887905c3606764914849f6070216b851d634e27cd71894a5151c5a84dd6
- Size of remote file:
- 3.31 kB
- SHA256:
- d4efefbf8c941514a407eef76977704403400130c17af028d97e256cf7ea7fed
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