huggingface-transformers

huggingface-transformers

Where does HuggingFace host it's data and how can I be sure that the model hosted on it is not being misused by the service hosting the data? [closed]

DistilBert for self-supervision - switch heads for pre-training: MaskedLM and SequenceClassification

'Duplicate' NGram values in topic list created using bertopic

How to use tapas table question answer model when table size is big like containing 50000 rows?

Parallelization feature of Datasets.map() function raise tokenizer error when num_proc parameter is greater than 1

Bert Tokenizer punctuation for named entity recognition task

Mlflow with Hugging Face

User warning when I use more than one gpu with trainer function

ljspeech Hugging Face examples not working

Issue in loading pre-trained models from HuggingFace

How to change the task of a pretrained model without jeopardizing the capacity of it?

Masking the input to model as a graph

Bert sequence max length configuration doesn't work

OSError: No space on device for weird reason

Major performance differences when using the tokenizer in huggingface

Why is positional encoding needed while input ids already represent the order of words in Bert?

How do I use huggingface models offline? Also, how can I retrain those models with my own datasets for specific task?

How to load a custom model downloaded from hugging face

Do huggingface translation models support separate vocabulary for source and target?

Need clarity on "padding" parameter in Bert Tokenizer

Reducing Latency for GPT-J

How to add weights in BERT loss function

Problem with following along with notebook on kaggle "max() received an invalid combination of arguments" issue

How to use 'run_glue.py' in HuggingFace to finetune for classification?

Using .generate function for beam search over predictions in custom model extending TFPreTrainedModel class

Fix tokenization to tensors with padding Huggingface

Training loss Validation loss all 0

How to map summarized article's sentences and original article's sentences

T5 while doing hyperparameter search shows "ValueError: You have to specify either decoder_input_ids or decoder_inputs_embeds"

How to hide Hugginface's logging messages in Longformer?

transformer Fill mask bad_words_ids

Text preprocessing for fitting Tokenizer model

BERT without positional embeddings

How to get the SHAP values of HuggingFace VisualBERT transformer?

Disable Ray Tune parallel hyperparameter tuning

How to keep same sequence size of all batches in Bert hugging face training

If I train a custom tokenizer on my dataset, I would still be able to leverage a pre-trained model weight

How to know if HuggingFace's pipeline text input exceeds 512 tokens

Is there any best way to train a custom domain specific text summarization model?

Why do I get the error "ModuleNotFoundError: No module named 'huggan'"?

Unexpected keyword argument 'unk_token'

How to get hidden layer/state outputs from a Bert model?

Huggingface pre-trained model

Huggingface models: how to store a different version of a model

Is it possible to get the meaning of each word using BERT?

Huggingface Transformers FAISS index scores

How to calculate the accuracy of a custom made bert model

How can I get metrics per label displayed in the transformers trainer?

BART loading from HuggingFace requires logging in

Output training losses over iterations/epochs to file from trainer.py in HuggingFace Transfrormers

TypeError: from_pretrained() got an unexpected keyword argument 'file_name'

ImportError: cannot import name 'HfApi'

How do I enforce a token not to be split by huggingface tokenizer?

Loading a tokenizer on huggingface: AttributeError: 'AlbertTokenizer' object has no attribute 'vocab'

How to get the shap values for the masked language modeling task using transformer?

How to use generative transformer model to extract words from input sentence?

What is the maximum text length in tokens that can be given as input for summarisation task using a sentence transformer models

The most efficient way for inference(zero-shot classification HuggingFace) on CPU

without the encode_plus method in tokenizers, how to make a feature matrix

How to update training dataset at epoch begin in Huggingface Trainer using Callback?

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