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Hey, I am unable to load the model from the huggingface checkpoint. Here is the code and the error:
```py
from DictMatching.moco import MoCo
from utilsWord.test_args import getArgs
from transfor…
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**Describe the bug**
Model I am using UniLM:
I use the following code to load the model.
```
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("micro…
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Is there any documentation or `examples` that I can refer to train a transformer model from scratch using `fairseq2`? The `examples` folder in the repository seems empty.
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With reference of these codes: examples/training_multilingual/make_multilingual.py, I want to have a french model, but encountered this when loading:
word_embedding_model = models.Transformer(stude…
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Hi! Thanks for your amazing work!
I am trying to obtain image-text embeddings for "_open_clip:xlm-roberta-large-ViT-H-14_"; but face the following error. The code works for "_open_clip:ViT-H-14_". …
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Hello,
as I learnt VT-g-14 is the best model for 2.1. I think there is a typo here.
when I choose it I get error:
Model config for ViT-g-14 not found; available models ['mt5-base-ViT-B-32', '…
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When running this code
```python
import adapters
import torch
from transformers import AutoConfig, AutoModelForSequenceClassification
source_model = "FacebookAI/xlm-roberta-base"
num_labels = …
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论文原文中称使用UMT(2020)获取融合的多模态特征,但在开源代码中我并未找到对应模块。且训练所使用的数据集也是标注好的纯文本数据集。我可否理解为本方法将图像转化为文本再使用chatgpt增强表示后与原文本拼接来做的NER任务
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Model/tokenizer support
- [ ] BERT
- [ ] GPT
Languages: en, de, fr, it, es
Tasks: Verify scores with reported scores in the literature
- Verify with `bert-base-multilingual-cased` , `xlm-robe…