Instructions to use Sayan01/stsb-distillbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/stsb-distillbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/stsb-distillbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/stsb-distillbert") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/stsb-distillbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f25033222d2c4a4575dbef79cf70dfde4e30acd5b072c82b94d109b7c55cb69
- Size of remote file:
- 3.38 kB
- SHA256:
- e4bc111a3689d4ed9f9cd00328f3945c60e83450a6789b05d9c33d949ba81450
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