Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use gokuls/bert_uncased_L-4_H-768_A-12_massive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokuls/bert_uncased_L-4_H-768_A-12_massive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gokuls/bert_uncased_L-4_H-768_A-12_massive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gokuls/bert_uncased_L-4_H-768_A-12_massive") model = AutoModelForSequenceClassification.from_pretrained("gokuls/bert_uncased_L-4_H-768_A-12_massive") - Notebooks
- Google Colab
- Kaggle