Instructions to use OpenMatch/Web-DRO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/Web-DRO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/Web-DRO")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/Web-DRO") model = AutoModel.from_pretrained("OpenMatch/Web-DRO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6afd35a918d8262778dd9969cab65f286cf30882d303e22bce610be756cbad0
- Size of remote file:
- 81 kB
- SHA256:
- fbd70151b5430d6171734d22ac9f7b801127771eeff9eddeb19a15be90324514
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.