Instructions to use xeventminer/mbert-pr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xeventminer/mbert-pr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xeventminer/mbert-pr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xeventminer/mbert-pr") model = AutoModelForSequenceClassification.from_pretrained("xeventminer/mbert-pr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d715d54b8f62db7e4f38523a04f1a802fd2d6607baf793adc93b86de44d10c32
- Size of remote file:
- 3.26 kB
- SHA256:
- 6aa7b1173ab5c0ceb17f596867210e64a6c5672a57ae37d40f6c9fefd319949a
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