Instructions to use memray/AugTriever-Hybrid-TQGen-plus-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use memray/AugTriever-Hybrid-TQGen-plus-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="memray/AugTriever-Hybrid-TQGen-plus-BERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("memray/AugTriever-Hybrid-TQGen-plus-BERT") model = AutoModel.from_pretrained("memray/AugTriever-Hybrid-TQGen-plus-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5476a83 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2ba7c19414c160d7b276f79d9391eb7a7f63afc1f84c889e923c1e132f632170
size 435632629
|