Instructions to use DragosGorduza/FRPile_MLM_Basel_MPNET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DragosGorduza/FRPile_MLM_Basel_MPNET with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DragosGorduza/FRPile_MLM_Basel_MPNET")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DragosGorduza/FRPile_MLM_Basel_MPNET") model = AutoModelForMaskedLM.from_pretrained("DragosGorduza/FRPile_MLM_Basel_MPNET", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("DragosGorduza/FRPile_MLM_Basel_MPNET")
model = AutoModelForMaskedLM.from_pretrained("DragosGorduza/FRPile_MLM_Basel_MPNET", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DragosGorduza/FRPile_MLM_Basel_MPNET")