Instructions to use hf-internal-testing/tiny-random-DPRQuestionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DPRQuestionEncoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-DPRQuestionEncoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DPRQuestionEncoder") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DPRQuestionEncoder") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
8a07cb9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d577d64ddff58a71bf0725b76778303169e1d96b41a68792125cdb7de787d6c3
size 363004
|