huggingface-transformers

huggingface-transformers

Difference between from_config and from_pretrained in HuggingFace

Setting Hugging Face dataloader_num_workers for multi-GPU training

'TypeError: can't pickle _thread.lock objects' in hyperparameter search

Fine-tune a pre-trained model

How do I load BertModel from a custom BertForMaskedLM without randomly initializing weights?

Fine-tune custom pre-trained language model

How to use the binirised data from fairseq-preprocess to fine-tune a transformer model

how to add max length and min length of characters for hugging face traansformers models(bert model)

How to represent paginated documents as a single instance of training data for whole document classification?

How do I hide certain labels on Huggingface inference?

How truncation works when applying BERT tokenizer on the batch of sentence pairs in HuggingFace?

why does huggingface t5 tokenizer ignore some of the whitespaces?

How to check the understanding of a trained model?

M2M100Tokenizer.from_pretrained 'NoneType' object is not callable

saving finetuned model locally

Why does huggingface hang on list input for pipeline sentiment-analysis?

Error when using mode.generate() from Transformers - TypeError: forward() got an unexpected keyword argument 'return_dict'

405 : Client Error: Not Allowed for huggingface url

fine tuning with hugging face trainer when adding layer on eletra model

How to properly finetune t5 model

How to remove input from from generated text in GPTNeo?

TypeError: forward() takes from 2 to 7 positional arguments but 8 were given "transformers"

Bert Config: Num attention heads

Hugging Face - Could not load model facebook/bart-large-mnli

Properly evaluate a test dataset

Is this possible to fine tune T5 by changing its configuration using T5Config class object?

FAISS and ElasticSearch capabilities for IterableDataset?

Extending huggingface class

Uploading models with custom forward functions to the huggingface model hub?

Why does upload a model to HuggingFace repository so slow?

How to create a training pipeline for huggingface bert base uncased clinical NER

Saving bert model at every epoch for further training

Produce similar embeddings to another model with BERT

[XAI for transformer custom model using AllenNLP]

Should I adjust the weights of embedding of newly added tokens?

Huggingface reformer for long document summarization

What is the difference between MarianMT and OpusMT?

How to freeze parts of T5 transformer model

Where does hugginface's transform library look for models?

RuntimeError: The expanded size of the tensor (585) must match the existing size (514) at non-singleton dimension 1

Streamlit Unhashable TypeError when i use st.cache

Learning rate not set in run_mlm.py?

Huggingface load_dataset() method how to assign the "features" argument?

Adding new tokens to BERT/RoBERTa while retaining tokenization of adjacent tokens

Why fine-tuning BERT mlm on specific domain doesn't work? What am I doing wrong?

How to use GPT-J for paraphrasing [closed]

why I can't use encode_plus properly

Why are the three embedding results are so different from transformer models?

Predictor.from_path('coref-spanbert-large-2021.03.10.tar.gz') downloads model into cache though I provide a local copy of the model

Suppress HuggingFace logging warning: "Setting `pad_token_id` to `eos_token_id`:{eos_token_id} for open-end generation."

is there a way to save only the model with huggingface trainer?

Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation

How does "Add and Norm" work across a Position-wise FeedForward Layer in a Transformer?

How to use AllenNLP interpret on finetuned t5 model

How to use Huggingface pretrained models to get the output of the dataset that was used to train the model?

Using Hugginface Transformers and Tokenizers with a fixed vocabulary?

How to test a model before fine-tuning in Pytorch Lightning?

How to calculate word similarity based on transformer?

How to load custom dataset from CSV in Huggingfaces

Does anyone knows how to input a text content in huggingface gpt2?

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