Instructions to use OUGeebar/bert-base-multilingual-uncased-b08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OUGeebar/bert-base-multilingual-uncased-b08 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OUGeebar/bert-base-multilingual-uncased-b08")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OUGeebar/bert-base-multilingual-uncased-b08") model = AutoModel.from_pretrained("OUGeebar/bert-base-multilingual-uncased-b08", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("OUGeebar/bert-base-multilingual-uncased-b08")
model = AutoModel.from_pretrained("OUGeebar/bert-base-multilingual-uncased-b08", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OUGeebar/bert-base-multilingual-uncased-b08")