Instructions to use google/electra-base-discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/electra-base-discriminator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/electra-base-discriminator") model = AutoModelForPreTraining.from_pretrained("google/electra-base-discriminator") - Notebooks
- Google Colab
- Kaggle
Honest Review
#8
by kalashshah19 - opened
I have fine tuned it for many tasks like Sentiment Analysis, Formal Document Classification, Emotion Detection, Intent Classification, Polarity Classification, etc and it has the best accuracy as compared to models like BERT, RoBERTa, DistilBERT, etc. It has a good understanding for classification tasks and also it is trained very carefully and optimistically. Great job Google. Keep up the good work.
kalashshah19 changed discussion title from Honest Feedback to Honest Review