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")
Which file holds roberta embeddings?
They are in the model weights file, so pytorch_model.bin for PyTorch, tf_model.h5 for TensorFlor and flax_model.msgpack for Flax/Jax.
pytorch_model.bin
tf_model.h5
flax_model.msgpack
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