Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use PDAP/coarse-url-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PDAP/coarse-url-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PDAP/coarse-url-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PDAP/coarse-url-classifier") model = AutoModelForSequenceClassification.from_pretrained("PDAP/coarse-url-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from PDAP/coarse-url-classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/PDAP/coarse-url-classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://PDAP/coarse-url-classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/PDAP/coarse-url-classifier/resolve/main/model.safetensors
268 MB
- Xet hash:
- 1fb37448b83d16e5e4be662e82aa5f9632bb3ea6c27f2e091167f578784162ff
- Size of remote file:
- 268 MB
- SHA256:
- 990de7fc9c0b8b3946524257234b7c56f6a269c6cbc03ec5e6326f45acea5df8
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