Instructions to use facebook/xlm-roberta-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xlm-roberta-xl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xlm-roberta-xl")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xlm-roberta-xl") model = AutoModelForMaskedLM.from_pretrained("facebook/xlm-roberta-xl") - Notebooks
- Google Colab
- Kaggle
Flax model
#5 opened 10 months ago
by
Davlan
250880 embedding size but tokenizer is size 250002...
#4 opened almost 2 years ago
by
manu
[AUTOMATED] Model Memory Requirements
#2 opened over 2 years ago
by
model-sizer-bot