Instructions to use OliverHeine/albert-base-v2_fold_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/albert-base-v2_fold_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/albert-base-v2_fold_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/albert-base-v2_fold_5") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/albert-base-v2_fold_5") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a6eabd8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:76982e146094e34244372995079714a822c193f9f1de127fbda1668d1b221d48
size 5265
|