python - How to use DistilBERT Huggingface NLP model to …
Oct 24, 2021 · I am using DistilBERT to do sentiment analysis on my dataset. The dataset contains text and a label for each row which identifies whether the text is a positive or negative …
Download pre-trained BERT model locally - Stack Overflow
After instantiating the SentenceTransformer via download, you can then save it to any path of your choosing with the 'save ()' method.
How to Fine-tune HuggingFace BERT model for Text Classification
Sep 2, 2021 · Base Model - TFDistilBertModel Hugging Face Transformers: Fine-tuning DistilBERT for Binary Classification Tasks TFDistilBertModel class to instantiate the base …
nlp - Fine-Tuning DistilBertForSequenceClassification: Is not …
Aug 2, 2020 · This Stack Overflow question discusses issues with fine-tuning DistilBertForSequenceClassification, including unchanged loss and weights not updating …
No model was supplied, defaulted to - Stack Overflow
Apr 23, 2023 · It tells you, that the pipeline is using distilbert-base-uncased-finetuned-sst-2-english because you haven't specified a model_id. In other words, it might not yield the best …
python - Problem loading transformers ... - Stack Overflow
Sep 27, 2024 · I want to use some of the models available through huggingface. I am having the hardest time even getting started. Can anyone help me identify and solve this problem? I am …
huggingface - Error ("bus error") running the simplest example on ...
Nov 13, 2024 · No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision 714eb0f (https://huggingface.co/distilbert/distilbert-base-uncased …
why take the first hidden state for sequence classification ...
Feb 6, 2020 · In the last few layers of sequence classification by HuggingFace, they took the first hidden state of the sequence length of the transformer output to be used for classification. …
How can I train distilBERT more efficiently on my large text ...
Jul 25, 2023 · Model Training: How can I make DistilBERT handle this beast of a dataset more efficiently? Anyone got experience tweaking the training strategy, batch size, learning rate, …
How to get output_attentions of a pretrained Distilbert Model?
Apr 19, 2022 · I got the solution to anyone looking: modified the code as ` dbert_model = TFDistilBertModel.from_pretrained ('distilbert-base-uncased',config, output_attentions=True)` …