Instructions to use FrinzTheCoder/bert-base-multilingual-cased-orm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FrinzTheCoder/bert-base-multilingual-cased-orm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FrinzTheCoder/bert-base-multilingual-cased-orm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FrinzTheCoder/bert-base-multilingual-cased-orm") model = AutoModelForSequenceClassification.from_pretrained("FrinzTheCoder/bert-base-multilingual-cased-orm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FrinzTheCoder/bert-base-multilingual-cased-orm: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/FrinzTheCoder/bert-base-multilingual-cased-orm/resolve/main/training_args.bin
- Command line
-
hf download hf://FrinzTheCoder/bert-base-multilingual-cased-orm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FrinzTheCoder/bert-base-multilingual-cased-orm/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 5d1880602f9914cb249001a281f285ef17c15b3ea08f8f7ae7dc4eff5e3cddb2
- Size of remote file:
- 5.37 kB
- SHA256:
- 28e8024a2b13a50bfc6afc3776ff28983c4c359cd49e583f16f2402d5aa3ac90
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