Instructions to use microsoft/reacc-py-retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/reacc-py-retriever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/reacc-py-retriever")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("microsoft/reacc-py-retriever") model = AutoModel.from_pretrained("microsoft/reacc-py-retriever") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
de6f2dd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6c72a096067987d4d092b8ac0f3156b4a38974a446e3225d09f01a7a4ad1dbdd
size 496307317
|