Instructions to use OliverHeine/bert-base-uncased_fold_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_fold_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_fold_9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_fold_9") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_fold_9") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
d01c66e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:aae37faa582edeaff2853aedb2898ed7fed8ab0b90c7e029abcd1631fa6b7d74
size 5265
|