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")# pip install -U transformers accelerate # 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 training_args.bin from outspark/news-bert-binary: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/outspark/news-bert-binary/resolve/main/training_args.bin
- Command line
-
hf download hf://outspark/news-bert-binary/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/outspark/news-bert-binary/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 7f0a2fe93f67b500793d0e25e4043f4614de0a79dea2afd4053c86e3f2ff22ae
- Size of remote file:
- 5.3 kB
- SHA256:
- 290978b29685e2472fa96d11e75d17017736fca91840e7ee8204704175c9006f
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