Instructions to use osiria/minilm-l12-h384-italian-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osiria/minilm-l12-h384-italian-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="osiria/minilm-l12-h384-italian-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("osiria/minilm-l12-h384-italian-cased") model = AutoModelForMaskedLM.from_pretrained("osiria/minilm-l12-h384-italian-cased") - Notebooks
- Google Colab
- Kaggle
sentencepiece.bpe.model missing
#1 opened about 2 years ago
by
federicocesarini