Instructions to use FacebookAI/xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-roberta-base") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-roberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from FacebookAI/xlm-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 9.1 MB
-
https://huggingface.co/FacebookAI/xlm-roberta-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://FacebookAI/xlm-roberta-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/FacebookAI/xlm-roberta-base/resolve/main/tokenizer.json
9.1 MB
File too large to display, you can check the raw version instead.