Instructions to use OliverHeine/google_mobilebert-uncased_fold_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_7") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_7") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
9e8b914 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c753a5c3a97d81f9a729c1503eb2f406caca80569dc7110ebeba032aad50f543
size 5329
|