Instructions to use OpenMOSS-Team/elasticbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/elasticbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenMOSS-Team/elasticbert-large")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("OpenMOSS-Team/elasticbert-large", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f180e7f50afabf3567d8b4bb0740d506e7b325693744157c7554150176bcedb
- Size of remote file:
- 1.54 GB
- SHA256:
- dc32a17ddd6aaec5bc183d5c2940c5d410b033f8f2317ed693efd3ea345bc476
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