Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jonastokoliu/text_cls_bert-base-uncased_imdb_finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonastokoliu/text_cls_bert-base-uncased_imdb_finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonastokoliu/text_cls_bert-base-uncased_imdb_finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonastokoliu/text_cls_bert-base-uncased_imdb_finetune") model = AutoModelForSequenceClassification.from_pretrained("jonastokoliu/text_cls_bert-base-uncased_imdb_finetune") - Notebooks
- Google Colab
- Kaggle
File too large to display, you can check the raw version instead.