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## Issue encountered
When evaluating large models, significant costs and delays can occur for inference, especially on larger datasets. Possibly I want to re-evaluate my predictions using different m…
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**Describe your idea or suggestion**
For some places I have been testing out in Australia using the global tide models for tide prediction are quite a bit off. It would be great to have a easy way to…
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Seems like your evaluation setup is broken, there is no inference since it gives no file error for `generated_predictions.jsonl`.
I am only evaluating the model, so I don't do trainings. Could you …
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An error occurred during generation: Request to https://api.replicate.com/v1/predictions failed with status 402 Payment Required: {"title":"Billing required","detail":"You need to set up billing to ru…
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Hello,
I have a hard time to run the program locally on my Linux machine (RTX4090).
First I tried to create a virtual env with my default CUDA Version (12.6.).
I installed the pre-requirements …
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All of my projections work and I am able to plot the maps with the results. However, when I try to calculate the areas of greatest change using BIOMOD_RangeSize, it tells me the model outputs need val…
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``
self.tokenizer = AutoTokenizer.from_pretrained(model_path)
``
``
self.model = AutoModelForSequenceClassification.from_pretrained(model_path).half().to(device).eval()
``
Some weights of Gemm…
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## Feature
Similar to https://github.com/tidymodels/probably/issues/159.
When producing a stacked ensemble of predictions, although the base models may have been trained using importance weights…
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Hi I'm training a model in pytorch using the scipy wasserstein distance added to the pytorch mean squared error loss which has a computation graph attached to it dicating which neurones get updated wi…
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Hello all,
I am trying to setup this model for Multi class instance segmentation task on custom dataset. If I closely monitor the results out of 15 classes only 5 classes are showing the very low o…