Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use mrm8488/ModernBERT-large-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-large-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-large-ft-fineweb-edu-annotations")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/ModernBERT-large-ft-fineweb-edu-annotations") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/ModernBERT-large-ft-fineweb-edu-annotations", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 545a9d4ee00594cad7a7a12d56e45145ca9a8427e310f91609f5823ee92b0ef3
- Size of remote file:
- 5.37 kB
- SHA256:
- 03b5a9311fbed0ab8f29aad8ab95fe3150e096afeab95559dd87962f518326bd
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