Instructions to use OliverHeine/bert-base-uncased_train_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_train_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_train_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_train_v1") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_train_v1") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
b6e2c89 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:10eeb8d4874f65f4a60991ec0eb1d5e068d615c60c7d5a345d164d099477977e
size 5265
|