Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use WilliamHH/Assignment1-ModernBERTV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WilliamHH/Assignment1-ModernBERTV2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WilliamHH/Assignment1-ModernBERTV2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WilliamHH/Assignment1-ModernBERTV2") model = AutoModelForSequenceClassification.from_pretrained("WilliamHH/Assignment1-ModernBERTV2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12ac58577a306f337294bfed326b3f476dcf161e5c03e05f8e10e6a13d35d346
- Size of remote file:
- 5.84 kB
- SHA256:
- d15aee105c4a3a75909248e05218ebaf2cab420bde4b4c2b6e59ffd5fd8c9205
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