Comments (4)
Hi @osanseviero
I see. Thanks for the suggestion!
Let me ask other people to see if that is ok to them.
If yes, I will do that this weekend or next week and get back to you.
Please ping me if you do not receive my response after that.
from equiformer_v2.
Hi there! You can explore some of the most popular models here, from Stable Diffusion to StarCoder, bert, Falcon, and many others :) In general, we recommend one model repository per model.
Model cards are recommended to ensure the community is able to understand the model, how to use and which are its limitations or intended use cases. We have docs about them in https://huggingface.co/docs/hub/model-cards.
You can also use the huggingface_hub
Python library to access models on the Hub programmatically
from equiformer_v2.
Hi @osanseviero
I have uploaded models to my personal Hugging Face Hub.
Just curious if you have some good examples of using the Hub to store models.
The checkpoints of this work would be stored along with other OCP models.
However, I would use the Hub to store models in my future works.
from equiformer_v2.
@osanseviero I see. That looks pretty great. Let me learn more and use it for future works if applicable.
Thanks for the comment.
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Related Issues (12)
- Incorporating vector node features HOT 1
- Training logs of QM9 dataset for EquiformerV2 HOT 4
- Large performance gap in MD17/22 dataset HOT 4
- How to train on a customied dataset? HOT 1
- some questions HOT 2
- Multi-node multi-gpu training HOT 1
- Small equivariant example HOT 7
- Speed compared to `TorchMD-Net` HOT 1
- How to use the v2 to train IS2RE datasets? HOT 1
- Can this model be used for molecule generation? HOT 1
- e3nn tensors compatibility issue HOT 3
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