Instructions to use xeventminer/mbert-en-pr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xeventminer/mbert-en-pr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xeventminer/mbert-en-pr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xeventminer/mbert-en-pr") model = AutoModelForSequenceClassification.from_pretrained("xeventminer/mbert-en-pr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from xeventminer/mbert-en-pr: direct link, hf CLI and curl.
- Browser
- Download file 3.32 kB
-
https://huggingface.co/xeventminer/mbert-en-pr/resolve/main/training_args.bin
- Command line
-
hf download hf://xeventminer/mbert-en-pr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xeventminer/mbert-en-pr/resolve/main/training_args.bin
3.32 kB
- Xet hash:
- fa25365f10d2f54c2f5b8cf1fb3d1e6feb0ac87da7c6a18f8140dd59533f955f
- Size of remote file:
- 3.32 kB
- SHA256:
- f0e432bb522b7b6ae8016cbafaf16052d42856f7e4cb7adf688cce61aee49c92
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