Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use BenPhan/ST2_modernbert-large_product_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenPhan/ST2_modernbert-large_product_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenPhan/ST2_modernbert-large_product_V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenPhan/ST2_modernbert-large_product_V2") model = AutoModelForSequenceClassification.from_pretrained("BenPhan/ST2_modernbert-large_product_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a6f77d20339f57977a40733769c0cb6ab54f4e6ac1759cfd7fe14d49c76a3d
- Size of remote file:
- 5.43 kB
- SHA256:
- 1268f01a93374b8fd8894163d30ea2118133eba373562df93c9bbbb1ae8dbb1a
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