Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use mrm8488/ModernBERT-base-ft-fineweb-edu-annotations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/ModernBERT-base-ft-fineweb-edu-annotations with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/ModernBERT-base-ft-fineweb-edu-annotations")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/ModernBERT-base-ft-fineweb-edu-annotations") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/ModernBERT-base-ft-fineweb-edu-annotations") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54f614a87b0f0c3e77afa54d67d102f9cbc7bf7951cc715c7b1f93ef952ce8b3
- Size of remote file:
- 5.37 kB
- SHA256:
- 9ec52cb7aeacc39fdad864f890afdf6508364504ac0a767bc2ca2c88372e21b1
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