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:
- dde9710201654dc559e5746aebb44d3df498ed5a70a766e422697ab7e89978fa
- Size of remote file:
- 712 MB
- SHA256:
- e817bed44d4cee526acddd3e83fe058a7903b9be230a4e4af3cc027c881f59af
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