Instructions to use Consensus/all-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Consensus/all-mpnet-base-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Consensus/all-mpnet-base-v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Consensus/all-mpnet-base-v2") model = AutoModel.from_pretrained("Consensus/all-mpnet-base-v2") - Notebooks
- Google Colab
- Kaggle
File size: 53 Bytes
8fcc6b2 | 1 2 3 4 | {
"max_seq_length": 384,
"do_lower_case": false
} |