Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use outspark/news-bert-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use outspark/news-bert-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="outspark/news-bert-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("outspark/news-bert-binary") model = AutoModelForSequenceClassification.from_pretrained("outspark/news-bert-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from outspark/news-bert-binary: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
-
https://huggingface.co/outspark/news-bert-binary/resolve/main/tokenizer.json
- Command line
-
hf download hf://outspark/news-bert-binary/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/outspark/news-bert-binary/resolve/main/tokenizer.json
752 kB
File too large to display, you can check the raw version instead.