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:
- 87b25aa8107aa5470fcc6a7d9bf398fce9fdeb304973b42f5f5793c3017caa31
- Size of remote file:
- 57.4 MB
- SHA256:
- 25b4883a463f7321cfdb06bc882e41d02ffe37af0e0c05c461dd074d300c617c
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