Instructions to use Capreolus/electra-base-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Capreolus/electra-base-msmarco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Capreolus/electra-base-msmarco")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Capreolus/electra-base-msmarco") model = AutoModelForSequenceClassification.from_pretrained("Capreolus/electra-base-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
6dd3022 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a2462d6c9a8e4b2487e29da05c400b38374d2d8224efd6b9704dc6842d85ca2b
size 438022857
|