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I am solving a VQA task in the form of classification task. How Intern-VL 2-1B can be used for such task. I want to it use it for a simple inference as well as for finetuning on a custom dataset
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During the use of LoRA fine-tuning, everything was normal, but the following issue arose during full-scale fine-tuning.
I use the following script for full fine-tuning :
```shell
#!/bin/bash
N…
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Is there a guide, or any additional information, on fine-tuning Espaloma? (i.e. taking the general model, and then supplementing with some molecule-specific electronic structure calculations, retraini…
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Thanks!
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### Feature request
@amyeroberts @qubvel @NielsRogge
Does HF team intersted in adding zero-shot finetuning example like https://github.com/SangbumChoi/transformers/tree/grounding_examples/example…
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Hi @baifanxxx :
I'm encountering an issue where the forward pass of the `SegVol` class hangs when the `image` is passed to `image_encoder`, resulting in NCCL communication timeouts in finetuning with…
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**TL;DR: Set a large enough `model_max_length` (e.g., 2048, 4096, or even larger) when finetuning, or otherwise you will be likely to see training loss always being 0.**
Today we have enabled finet…
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When we do not finetune WavLM in the Pyannote implementation of ToTaToNet, the model does not update its weight due to that they set automatic_optimization = False in the constructor of the model, whi…
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Create a django project that will be used for the talent pipeline. Do it from scratch using the libraries created by Jeferson, here is the documentation: https://breatheco-de.github.io/apiv2/.
Here…
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https://assets-eu.researchsquare.com/files/rs-4929687/v1_covered_d59bda02-4ab7-4175-b01b-e3b1d3d162f7.pdf?c=1726671346