Instructions to use ielabgroup/StandardBERT-DR-Aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/StandardBERT-DR-Aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ielabgroup/StandardBERT-DR-Aug")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ielabgroup/StandardBERT-DR-Aug") model = AutoModel.from_pretrained("ielabgroup/StandardBERT-DR-Aug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 150e64c78b85d31111ad3f185e98a56745f9bcf43165f3766c17ff9ed3edfd85
- Size of remote file:
- 438 MB
- SHA256:
- f552e2d63c637748ceba185ac88e7460a690f7ac07900f4797a679c531592998
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.