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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
09ae026 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0a0a5ee0699284cd4ca3095bcc58a6546162e855af0d09c3378f94567ffd3495
size 470800
|