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/4eebae7fc2cdccae28c10b8551ddedd91ab00fb2/model.safetensors
- Command line
-
hf download hf://HuggingFaceTB/stack-edu-classifier-java@4eebae7fc2cdccae28c10b8551ddedd91ab00fb2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HuggingFaceTB/stack-edu-classifier-java/resolve/4eebae7fc2cdccae28c10b8551ddedd91ab00fb2/model.safetensors
497 MB
- Xet hash:
- 398220b58aa74deb6ac1ac6eef17636c6d9881b49cbc21728bd90b25f0f347b8
- Size of remote file:
- 497 MB
- SHA256:
- 9498fc787053d00b0513a522dfe86b9839f7644070308d40522f6709e98a8bfb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.