Instructions to use rrivera1849/LUAR-MUD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rrivera1849/LUAR-MUD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rrivera1849/LUAR-MUD", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rrivera1849/LUAR-MUD", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Support specifying upstream sentence transformers model revision
#2
by ccmaymay - opened
Support usage of a specific revision of the upstream paraphrase-distilroberta model, with that revision specified in the config. Default behavior is unchanged.
Specifying the revision facilitates (1) loading the upstream model from disk instead of downloading it from the hub and (2) keeping the model secure and consistent across runs.
ccmaymay changed pull request status to open
rrivera1849 changed pull request status to merged