Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Sifter/product-classify-name-uom-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sifter/product-classify-name-uom-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sifter/product-classify-name-uom-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sifter/product-classify-name-uom-v2") model = AutoModelForSequenceClassification.from_pretrained("Sifter/product-classify-name-uom-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload folder using huggingface_hub
Verified signaturea78d8d7 -
Upload folder using huggingface_hub
Verified signature15634c8 -
Upload folder using huggingface_hub
Verified signature8fa7ab7 -
Upload folder using huggingface_hub
Verified signature81178d9 -
Upload folder using huggingface_hub
Verified signature4f05ec3 -
Upload folder using huggingface_hub
Verified signature842df56 -
Upload folder using huggingface_hub
Verified signature21880fd -
Upload folder using huggingface_hub
Verified signatured406d91 -
Upload folder using huggingface_hub
Verified signature0a196c0 -
Upload folder using huggingface_hub
Verified signaturea2dbe1a -
Upload folder using huggingface_hub
Verified signature5a4e55d -
Upload folder using huggingface_hub
Verified signature37faa37 -
Upload folder using huggingface_hub
Verified signature9246081 -
Upload folder using huggingface_hub
Verified signature5f23d84 -
Upload folder using huggingface_hub
Verified signature1bfc0d2 -
Upload folder using huggingface_hub
Verified signature924b0ce -
initial commit
Verified signaturedbd584a