Instructions to use marlex7/straightforwardKD-Mini-from-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/straightforwardKD-Mini-from-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/straightforwardKD-Mini-from-Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/straightforwardKD-Mini-from-Base") model = AutoModelForSequenceClassification.from_pretrained("marlex7/straightforwardKD-Mini-from-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
32ef7c3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:78e5c927b9029920d536d4351f7c79e8c132804d6f01ce039609935d977aceab
size 4792
|