transformer-model Examples and Free Source Code

How does BertForSequenceClassification classify on the CLS vector?...

python machine-learning huggingface-transformers bert-language-model transformer-model

AttributeError: 'DynamicCache' object has no attribute 'seen_tokens'...

python large-language-model transformer-model

Choose available GPU devices with device_map...

python machine-learning huggingface-transformers transformer-model

(NVIDIA/nv-embed-v2) ImportError: cannot import name 'MISTRAL_INPUTS_DOCSTRING' from 'tr...

python nvidia huggingface-transformers transformer-model word-embedding

Using positional encoding in pytorch...

python deep-learning pytorch transformer-model

Logits Don't Change in a Custom Reimplementation of a CLIP model [PyTorch]...

python deep-learning pytorch artificial-intelligence transformer-model

I keep getting this error, cuda available 'RuntimeError: Expected all tensors to be on the same ...

python pytorch reinforcement-learning transformer-model rllib

Is positional encoding necessary for transformer in language modeling?...

transformer-model language-model

Why does my keras model with multiple inputs accept the shape of the training data for .call() but n...

python tensorflow keras transformer-model

How to download a model from huggingface?...

huggingface-transformers transformer-model

How to get cosine similarity of word embedding from BERT model...

python bert-language-model word-embedding transformer-model

How to extract image hidden states in LLaVa's transformers (Huggingface) implementation?...

huggingface-transformers transformer-model multimodal

ValueError: Exception encountered when calling layer 'tf_bert_model' (type TFBertModel)...

tensorflow tensorflow2.0 huggingface-transformers bert-language-model transformer-model

How to correctly apply LayerNorm after MultiheadAttention with different input shapes (batch_first v...

audio deep-learning pytorch transformer-model pattern-recognition

How to mask inputs with variable size in transformer model when the batches needs to be masked diffe...

python numpy tensorflow keras transformer-model

Warning: Gradients do not exist for variables...

python tensorflow keras transformer-model

How to apply a pretrained transformer model from huggingface?...

huggingface-transformers named-entity-recognition transformer-model

How to reconstruct text entities with Hugging Face's transformers pipelines without IOB tags?...

nlp tokenize transformer-model named-entity-recognition huggingface-transformers

Inference error after training an IP-Adapter plus model...

machine-learning deep-learning pytorch transformer-model stable-diffusion

cannot import name 'split_torch_state_dict_into_shards' from 'huggingface_hub'...

python nlp huggingface-transformers transformer-model llama

Why do Transformers in Natural Language Processing need a stack of encoders?...

machine-learning deep-learning nlp transformer-model

Transformers: Cross Attention Tensor Shapes During Inference Mode...

pytorch transformer-model

Query padding mask and key padding mask in Transformer encoder...

python machine-learning pytorch transformer-model attention-model

PyTorch Linear operations vary widely after reshaping...

python debugging pytorch transformer-model attention-model

Why doesn't permuting positional encodings in GPT-2 affect the output as expected?...

pytorch huggingface-transformers transformer-model gpt-2

Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask?...

pytorch nlp huggingface-transformers transformer-model

Why is the timm visual transformer position embedding initializing to zeros?...

pytorch transformer-model vision-transformer

Inference question through LoRA in Whisper model...

transformer-model openai-whisper

How to make huggingface transformer for translation return n translation inferences?...

python huggingface-transformers transformer-model

Understanding the results of Transformers Learn In Context with Gradient Descent...

machine-learning nlp large-language-model transformer-model meta-learning