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Thanks for your good work. I use the offered SDXL weights to finetune with my own data, but it seems the loss doesn't converge and I wonder whether the offered weights are trained on 1024 resolution. …
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### Is there an existing issue for this?
- [ ] I have searched the existing issues
### Current Behavior
跑项目中评测脚本的时候发现,多个token会对应同一个字母。
比如选项为ABCD,但是30949也是B,347也是B。 某个题目里, 30949的logits 是10.73…
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Hi, I'm using SAM to get masks for segmenting my images (~320, 960*800 ea.) on CPU, but I noticed that SAM eats up the memory quickly. I'm using a for loop to segment each image, and after ~60 iterati…
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When I tried to call result.get_prediction() after fitting result = smf.mnlogit("dep_var ~ indep_var", data = data).fit() I got an error message that "MultinomialResults object has no attribute 'get_p…
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Hi,
I am currently trying to run the inference example with a slight modification. Instead of `generate()`-ing text, I want to pass in `input_ids` and `labels` to the `forward` function and obtain t…
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I tried standard embeddings but the model is not discerning between brothers well. So I decided to try finetuning casia-webface/vggface2 and classifying with 4 classes and 1000 images each. I ran the …
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from groundingdino.util.inference import load_model, load_image, predict, annotate
import cv2
model = load_model("groundingdino/config/GroundingDINO_SwinT_OGC.py", "weights/groundingdino_swint_ogc…
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### Description & Motivation
In the Tensor Parallel example [here](https://github.com/Lightning-AI/pytorch-lightning/tree/master/examples/fabric/tensor_parallel) while the proposed model is a Llama…
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`def create_model(bert_config, is_training, input_ids, input_mask, segment_ids, labels, num_labels, use_one_hot_embeddings):
"""Creates a classification model."""
model = modeling.BertModel(…
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I have gone through the code didn't find where the itr_forward function was called
123rc updated
5 months ago