Text Classification
Transformers
Safetensors
modernbert
unspsc
multi-label-classification
query-intent
Eval Results (legacy)
text-embeddings-inference
Instructions to use Subramanya97/modernbert-large-unspsc-query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subramanya97/modernbert-large-unspsc-query with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Subramanya97/modernbert-large-unspsc-query")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Subramanya97/modernbert-large-unspsc-query") model = AutoModelForSequenceClassification.from_pretrained("Subramanya97/modernbert-large-unspsc-query", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5061c3b3f1b952a3ffb9efbb9d8087a48885cc2b3337e47a67b416ac61549093
- Size of remote file:
- 5.27 kB
- SHA256:
- 4884fe3cd05fe9166375366a62e6f9694c0005ff814d0d4609c0fcf388c7c068
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