Instructions to use ElMad/trusting-cod-535 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/trusting-cod-535 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/trusting-cod-535")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/trusting-cod-535") model = AutoModelForSequenceClassification.from_pretrained("ElMad/trusting-cod-535", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
3bb3482 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a6a34534b654750adcdd32297cf21c9e0e653ee119ac241268f50ad812105b7
size 5496
|