Comments (2)
Hi. We do not have an exact timeline on this. But we will add some documentation in the next commit, to make it easier for you to implement yourself. Thanks.
from refined.
Hi. We still do not have a timeline on this. Here is the documentation on how to use a PyTorch model with AWS inferentia https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-inferentia-pytorch-neuron.html, in case you wanted to implement it yourself. Thanks.
from refined.
Related Issues (20)
- Batch support at the time of inference HOT 2
- Instructions for training a new model HOT 2
- Approach for limited labelled data
- Train new model on top of ReFinED
- The format of pem.lmdb is inconsistent between it in preprocess_all and in LookupsInferenceOnly class
- Early stopping in the preprocessing step
- Issue with running the code on Windows
- Will you release the KBED source code? HOT 1
- How do I add new entities to the EL system?
- How to optimize GPU usage?
- Same wikipedia entity title for all top k candidates HOT 2
- Issue with loading Additional Entities HOT 6
- cannot find the file "chosen_classes.txt" HOT 1
- Missing Wikipedia_data folder after running preprocess_all? HOT 2
- Weird runtime variations - are there any caching effects?
- Upload Multilingual Model
- TypeError: cannot pickle 'Environment' object HOT 4
- Some questions about training dataset
- Inefficient Process for Adding New Entities in ReFinED
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