# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("kornesh/xlm-roberta-large")
model = AutoModel.from_pretrained("kornesh/xlm-roberta-large")Quick Links
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Converted for Tensorflow
name = "xlm-roberta-large"
!rm -rf local
!git clone https://huggingface.co/kornesh/"$name" local
model = TFAutoModel.from_pretrained(name, from_pt=True)
tokenizer = AutoTokenizer.from_pretrained(name)
model.save_pretrained("local")
tokenizer.save_pretrained("local")
!cd local/ && git lfs install && git add . && git commit -m "Initial commit" && git push
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kornesh/xlm-roberta-large")