Instructions to use Genius1237/xlm-roberta-large-tydip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Genius1237/xlm-roberta-large-tydip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Genius1237/xlm-roberta-large-tydip")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Genius1237/xlm-roberta-large-tydip") model = AutoModelForSequenceClassification.from_pretrained("Genius1237/xlm-roberta-large-tydip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Genius1237/xlm-roberta-large-tydip: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Genius1237/xlm-roberta-large-tydip/resolve/main/tokenizer.json
- Command line
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hf download hf://Genius1237/xlm-roberta-large-tydip/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Genius1237/xlm-roberta-large-tydip/resolve/main/tokenizer.json
17.1 MB
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