Instructions to use Sayan01/tiny-bert-cola-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-cola-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-cola-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-cola-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-cola-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a21dfd76624d62548c38152d2b81af8e6baf5e36507e7e21b823bbb045de29d9
- Size of remote file:
- 3.38 kB
- SHA256:
- 2556cfc1d13522f9228a8e9ca03309b8bc406dc066b7430737fd48863c5b6f8f
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