Instructions to use Sayan01/tiny-bert-mrpc-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-mrpc-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-mrpc-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-mrpc-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-mrpc-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acbc800af35a080e52e8e6f8f5499f3c6797b020a79f26384932d07692230a21
- Size of remote file:
- 3.06 kB
- SHA256:
- 5ed0989d315d979c58ee26e8c4b4935d6ae26e0696f7801f4aef45e66b5eb64a
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