Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-java")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-java") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from HuggingFaceTB/stack-edu-classifier-java: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/HuggingFaceTB/stack-edu-classifier-java/resolve/45073e109f4633cd93d700b6554e7e16c1942cd2/model.safetensors
- Command line
-
hf download hf://HuggingFaceTB/stack-edu-classifier-java@45073e109f4633cd93d700b6554e7e16c1942cd2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HuggingFaceTB/stack-edu-classifier-java/resolve/45073e109f4633cd93d700b6554e7e16c1942cd2/model.safetensors
497 MB
- Xet hash:
- 8e2464daa2bb7754e35d34c6017df0eb88be9ea45f0b33f9e46a6481f0b2b4d5
- Size of remote file:
- 497 MB
- SHA256:
- 2e8baa2ccda144734b61cf08a34a7d41115f2bd718810971e07e8c0cad34c9b3
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