Instructions to use Sadia2000/fp_xlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sadia2000/fp_xlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sadia2000/fp_xlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Sadia2000/fp_xlm") model = AutoModelForMaskedLM.from_pretrained("Sadia2000/fp_xlm") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Sadia2000/fp_xlm")
model = AutoModelForMaskedLM.from_pretrained("Sadia2000/fp_xlm")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sadia2000/fp_xlm")