Instructions to use OliverHeine/bert-base-uncased_fold_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_fold_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_fold_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_fold_3") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_fold_3") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
55962ff | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6160d4135fe89d1aa410cfb7c1bc90591663750fe8f5dff40f2bb939819c8d7b
size 5265
|