Instructions to use facebook/xlm-v-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xlm-v-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xlm-v-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xlm-v-base") model = AutoModelForMaskedLM.from_pretrained("facebook/xlm-v-base") - Inference
- Notebooks
- Google Colab
- Kaggle
loading xlm v as feature extractor and feature tokenizer
#2 opened almost 3 years ago
by
chao0619
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot