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README.md
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@@ -106,6 +106,7 @@ Users (both direct and downstream) should be made aware of the risks, biases and
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("shkna1368/v1-Kurdana")
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model = AutoModelForSeq2SeqLM.from_pretrained("shkna1368/v1-Kurdana")
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input_ids = tokenizer.encode(question, return_tensors="pt")
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("shkna1368/v1-Kurdana")
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model = AutoModelForSeq2SeqLM.from_pretrained("shkna1368/v1-Kurdana")
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input_ids = tokenizer.encode(question, return_tensors="pt")
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