Instructions to use pcuenq/distilbert-base-multilingual-cased-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pcuenq/distilbert-base-multilingual-cased-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pcuenq/distilbert-base-multilingual-cased-tokenizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pcuenq/distilbert-base-multilingual-cased-tokenizer") model = AutoModelForMaskedLM.from_pretrained("pcuenq/distilbert-base-multilingual-cased-tokenizer") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!