Instructions to use HakHan/Web-DRO-DR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HakHan/Web-DRO-DR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HakHan/Web-DRO-DR")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HakHan/Web-DRO-DR") model = AutoModel.from_pretrained("HakHan/Web-DRO-DR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee0ddadac1bca5d8bc3c59e58f2120c3eeed00e2edd98ce82ff9a6a7e750700e
- Size of remote file:
- 4.09 kB
- SHA256:
- dac0df07574549f36f689068ae6e77dbccee63c08d0fad93540e85cb14a5d50b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.