huggingface-transformers

huggingface-transformers

Nuance in usage of GPT2 when setting the attribute trainable

Why BPE encoding trained on English and applied on Bengali doesnot return unknown tokens?

How to chose which GPU to run on with HuggingFace?

Huggingface AutoTokenizer cannot be referenced when importing Transformers

Facebook DETR resnet 50 in HuggingFace Hub

How to get the output of the last but one layer of the Vision transformer using the hugging face implementation?

Transformers tokenizer returns overlapping tokens. Is that a bug or am I doing something wrong?

trainer.train() in Kaggle: StdinNotImplementedError: getpass was called, but this frontend does not support input requests

ValueError: Input is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers

How to download model from huggingface?

How to pass multiple labels into Huggingface transformers Trainer

Loading HF transformers BERT model into Allen NLP interpret module

How to apply a pretrained transformer model from huggingface?

Huggingface transformer export tokenizer and model

Control the logging frequency and contents when using wandb with HuggingFace

Encountering type error handling when running allennlp test-install

Train GPT2 with Trainer & TrainingArguments using/specifying attention_mask

Limiting BART HuggingFace Model to complete sentences of maximum length

Rasa integration pipeline with HuggingFace

huggingface EncoderDecoderModel has no attribute 'from_encoder_decoder_pretrained'

Make predictions on on HuggingFace's BERT with Dropout on

Transformers fine tune model warning

HuggingFace 'TFEmbeddings' object has no attribute 'word_embeddings'

Customized logging in HuggingFace

How to use run_mlm with unlabeled text

Parsing the Hugging Face Transformer Output

What is the multi-label limit for BERT based Hugging Face API?

I want to use "grouped_entities" in the huggingface pipeline for ner task, how to do that?

T5Tokenizer requires the SentencePiece library but it was not found in your environment

On-the-fly tokenization with datasets, tokenizers, and torch Datasets and Dataloaders

Loading pre-trained BERT model error - Error no file named ['pytorch_model.bin', 'tf_model.h5'] found

Huggingface transformer model returns string instead of logits

Huggingface saving tokenizer

What's difference RobertaModel, RobertaSequenceClassification (hugging face)

How to initialize BertForSequenceClassification for different input rather than [CLS] token?

Load a pre-trained model from disk with Huggingface Transformers

Reduce the output layer size from XLTransformers

Train Model with Token Features

How to change huggingface transformers default cache directory

How can I get the score from Question-Answer Pipeline? Is there a bug when Question-answer pipeline is used?

Named Entity Recognition with Huggingface transformers, mapping back to complete entities

Training loss is not decreasing for roberta-large model but working perfectly fine for roberta-base, bert-base-uncased

Running transformers on docker

what's the difference between BertForSequenceClassification.from_pretrained and python run_glue.py?

why TFBertForSequenceClassification.from_pretrained('bert-base-chinese') can't use?

Train RoBERTa from scratch where dataset is larger than the capacity of RAM?

Understanding BERT vocab [unusedxxx] tokens:

Do I need to pre-tokenize the text first before using HuggingFace's RobertaTokenizer? (Different undersanding)

How do I train a encoder-decoder model for a translation task using hugging face transformers?

How should I format my dataset to avoid this? "Input is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers"

KeyError when using non-default models in Huggingface transformers pipeline

Transformer-XL: Input and labels for Language Modeling

Continue fine-tuning from saved checkpoints for run_language_modeling.py

Where does hugging face's transformers save models?

DISTILBERT_BASE_UNCASED failed to load - Hugging face transformers

what's difference between tokenizer.encode and tokenizer.encode_plus in Hugging Face

Huggingface AutoTokenizer can't load from local path

attention_mask is missing in the returned dict from tokenizer.encode_plus

How to use BertForSequenceClassification for token max_length set at 1700?

How can I continue finetuning from checkpoint using the NER script?

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