Instructions to use FacebookAI/xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-roberta-large") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-roberta-large") - Inference
- Notebooks
- Google Colab
- Kaggle
Flash Attention Support for XLM-R models?
#20 opened over 1 year ago
by
ShaomuTan
Adding ONNX file of this model
#19 opened over 1 year ago
by
voldhooker
kindly tell me about FacebookAI/xlm-roberta-large GGUF Format
2
#18 opened about 2 years ago
by
Jahanzaib006201
[AUTOMATED] Model Memory Requirements
#16 opened over 2 years ago
by
model-sizer-bot
xlm-roberta-xxlarge?
👍 1
#9 opened about 3 years ago
by
vjeronymo2
Model card a copy/paste?
1
#7 opened over 3 years ago
by
tilusnet
Embeddings
1
#6 opened almost 4 years ago
by
Taghreed
how to add dropout in xlm-roberta-large model ?
3
#5 opened almost 4 years ago
by
Shaukat
Use XLM-R to build LM on X-languages (X>=5) from scratch
3
#2 opened almost 4 years ago
by
bonadossou