Instructions to use castorini/monot5-large-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/monot5-large-msmarco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="castorini/monot5-large-msmarco")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("castorini/monot5-large-msmarco") model = AutoModel.from_pretrained("castorini/monot5-large-msmarco") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot
Using the pre-trained model (monot5-base-msmarco-10k) to get inference via CrossEncoders
#1 opened almost 2 years ago
by
EltonLobo