Text Classification
Transformers
TensorBoard
Safetensors
English
modernbert
text-embeddings-inference
Instructions to use PedroRuizCode/ModernBERT-base-imdb-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PedroRuizCode/ModernBERT-base-imdb-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PedroRuizCode/ModernBERT-base-imdb-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PedroRuizCode/ModernBERT-base-imdb-ft") model = AutoModelForSequenceClassification.from_pretrained("PedroRuizCode/ModernBERT-base-imdb-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 419f6b3dcee25553d9098ff9cf1f3a990863ca045374d7cb84f660846021ccae
- Size of remote file:
- 5.37 kB
- SHA256:
- 36041fd24f23f9563f4c6410972e1f31b815795cfb1dc0a1d917b7c200c101d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.