Text Classification
Transformers
PyTorch
JAX
Safetensors
English
bert
news
classification
mini
Eval Results (legacy)
Instructions to use mrm8488/bert-mini-finetuned-age_news-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-mini-finetuned-age_news-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/bert-mini-finetuned-age_news-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-mini-finetuned-age_news-classification") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/bert-mini-finetuned-age_news-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mrm8488/bert-mini-finetuned-age_news-classification: direct link, hf CLI and curl.
- Browser
- Download file 2.03 kB
-
https://huggingface.co/mrm8488/bert-mini-finetuned-age_news-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://mrm8488/bert-mini-finetuned-age_news-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mrm8488/bert-mini-finetuned-age_news-classification/resolve/main/training_args.bin
2.03 kB
- Xet hash:
- e26e1e0ac45c17920b732ee274b89f0ab443f744cfb79706445f51446031554f
- Size of remote file:
- 2.03 kB
- SHA256:
- da80365b287092b11ba33cd01ceeb45282b283c8a324ba22c0d3a68f432fb71d
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