Add eurobert #39455
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Add eurobert #39455
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…t from PreTrainModel.
… information and typo in docs
…n and remove unneeded comment
…ion mask condition
…te related documentation
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[For maintainers] Suggested jobs to run (before merge) run-slow: auto, eurobert |
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@ArthurZucker What's the status here? Would love to get this fully out, also so we can add ONNX support for EuroBERT: huggingface/optimum#2321
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Got caught up in the release I just needed to add integration tests making sure it works well! |
ArthurZucker
commented
Aug 20, 2025
| # This variable is used to determine which CUDA device are we using for our runners (A10 or T4) | ||
| # Depending on the hardware we get different logits / generations | ||
| cuda_compute_capability_major_version = None | ||
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from transformers import AutoTokenizer, AutoModelForMaskedLM
model_id = "EuroBERT/EuroBERT-2.1B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForMaskedLM.from_pretrained(model_id, trust_remote_code=True)
text = "The capital of France is <|mask|>."
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)
# To get predictions for the mask:
masked_index = inputs["input_ids"][0].tolist().index(tokenizer.mask_token_id)
predicted_token_id = outputs.logits[0, masked_index].argmax(axis=-1)
predicted_token = tokenizer.decode(predicted_token_id)
print("Predicted token:", predicted_token)
# Predicted token: Pariswill run this with trust remote code
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