Text Generation
PEFT
Safetensors
Russian
qasem
russian
lora
causal-lm
semantic-parsing
conversational
Instructions to use YonatanDavidov/qasem-ru-sambalingo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YonatanDavidov/qasem-ru-sambalingo-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sambanovasystems/SambaLingo-Russian-Base") model = PeftModel.from_pretrained(base_model, "YonatanDavidov/qasem-ru-sambalingo-lora") - Notebooks
- Google Colab
- Kaggle
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@@ -121,7 +121,7 @@ The model produces structured predicate–argument representations in the form o
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- A predicate (verb or nominal)
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- A natural-language question
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- A corresponding answer span the sentence
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This structure can be easily converted into tabular or JSON format for downstream use.
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- A predicate (verb or nominal)
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- A natural-language question
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- A corresponding answer span from the sentence
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This structure can be easily converted into tabular or JSON format for downstream use.
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