Instructions to use jinaai/xlm-roberta-flash-implementation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/xlm-roberta-flash-implementation with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jinaai/xlm-roberta-flash-implementation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
lora-multiple-adapters
#11
by jupyterjazz - opened
- modeling_lora.py +1 -1
modeling_lora.py
CHANGED
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@@ -233,7 +233,7 @@ class XLMRobertaLoRA(XLMRobertaModel):
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self._alpha = config.lora_alpha
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self._register_lora(
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-
num_adaptations=self.
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rank=self._rank,
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dropout_p=self._dropout_p,
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alpha=self._alpha,
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self._alpha = config.lora_alpha
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self._register_lora(
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+
num_adaptations=len(self._lora_adaptations),
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rank=self._rank,
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dropout_p=self._dropout_p,
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alpha=self._alpha,
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