natural-language-processing text-classification natural-language-inference bert adversarial-attacks bert-model Updated Dec 8, 2022 Python dccuchile / beto Star 495 Code Issues Pull requests BETO - Spanish version of the BERT model nlp transformers spanish bert bert-model transformers-library Upda...
deep-learningpytorchopenaibertsentence2veconnxcross-modalitymulti-modalityimage2vecsentence-encodingbert-as-servicecross-modal-retrievalneural-searchclip-modelclip-as-service UpdatedJan 23, 2024 Python PaddlePaddle/PaddleNLP Star12.6k Easy-to-use and powerful LLM and SLM library with awesome model zoo. ...
Mixture of Experts (MoE) is a method that presents an efficient approach to dramatically increasing a model’s capabilities without introducing a proportional amount of computational overhead. To learn more, check outthis guide! Alphabetical
System environment: Python 3.6 or later and Compute Unified Device Architecture (CUDA) 10.0 in Linux Framework: TensorFlow 1.15 Inference optimization tool: PAI-Blade V3.16.0 or later Procedure To optimize a BERT model by using PAI-Blade, perform the following steps: ...
In this study, the ChatGPT tweets dataset is utilized, which is scraped from Twitter using the Tweepy API Python library. A total of 21,515 raw tweets are collected for this purpose. The dataset contains the date, user name, user friends, user location, and text features. The dataset is...
Split the annotated_tweets into features (preprocessed tweets) and labels (toxic/non-toxic) (using a random state in Python’s scikit-learn library to split the data into training and testing sets is a good practice to ensure that the data is truly random and unbiased) Train a classification...
Now we will fine-tune a BERT model to perform text classification with the help of the Transformers library. You should have a basic understanding of defining, training, and evaluating neural network models in PyTorch. If you want a quick refresher on PyTorch then you can go through the...
If you’re running this code on Google Colab, you will have to install this library each time you reconnect; the following cell will take care of that for you. !pipinstalltransformers Now let’s import pytorch, the pretrained BERT model, and a BERT tokenizer. ...
The crosstream Python package mentioned can be found at:https://github.com/bertwagner/crosstream. jurn - A Command Line Tool for Keeping Track of Your Work Published Mon 19 December 2022 inPython Watch this week's video on YouTube
Python DistilBERT model pre-trained on 131 GB of Japanese web text. The teacher model is BERT-base that built in-house at LINE. japanesedistilbert UpdatedMar 22, 2023 Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers ...