Instructions to use moshew/minylm-L3-aug-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moshew/minylm-L3-aug-sst2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moshew/minylm-L3-aug-sst2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moshew/minylm-L3-aug-sst2-distilled") model = AutoModelForSequenceClassification.from_pretrained("moshew/minylm-L3-aug-sst2-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
{'test_accuracy': 0.911697247706422, 'test_loss': 0.24090610444545746, 'test_runtime': 0.4372, 'test_samples_per_second': 1994.475, 'test_steps_per_second': 16.011}
- Downloads last month
- 27