Instructions to use Gukson/dair-baseline-labse-seed-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gukson/dair-baseline-labse-seed-13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gukson/dair-baseline-labse-seed-13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gukson/dair-baseline-labse-seed-13") model = AutoModelForSequenceClassification.from_pretrained("Gukson/dair-baseline-labse-seed-13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9d7ec3b348703ece9968742817502272d62e8f47df40d91f1029743bd15e22f
- Size of remote file:
- 13.6 MB
- SHA256:
- c00370a7ab069af47e44f675f2a7a1053102c5d846ab39b506966fdc7723f8cb
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