Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use heriosousa/imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heriosousa/imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heriosousa/imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heriosousa/imdb") model = AutoModelForSequenceClassification.from_pretrained("heriosousa/imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab259f18be75807ce828149628b6f7dc32d435be379d27fa97f6f9d6e19cab4c
- Size of remote file:
- 3.38 kB
- SHA256:
- 3ef9b956fcf10822b3d676669a1df6727848722847ab70b8971302b29351f447
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