Instructions to use OliverHeine/albert-base-v2_fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/albert-base-v2_fold_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/albert-base-v2_fold_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/albert-base-v2_fold_6") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/albert-base-v2_fold_6") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7443f62 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fc60a870aa9a44c585233759b4527009ee7a5d090a24dfa4655236bf9fae4658
size 5265
|