Instructions to use ielabgroup/StandardBERT-DR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/StandardBERT-DR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ielabgroup/StandardBERT-DR")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ielabgroup/StandardBERT-DR") model = AutoModel.from_pretrained("ielabgroup/StandardBERT-DR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
79f8e61 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8bbad62adb64a7be70d225b002c9bcc80995722bd29f4bb13912d43b7e9756bc
size 438015479
|