macedonizer
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Update README.md
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README.md
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@@ -29,13 +29,13 @@ prompt.
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### How to use
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Here is how to use this model to get the features of a given text in PyTorch:
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import random
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from transformers import AutoTokenizer, AutoModelWithLMHead
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tokenizer = AutoTokenizer.from_pretrained('macedonizer/mk-gpt2')
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model = AutoModelWithLMHead.from_pretrained('macedonizer/mk-gpt2')
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input_text = 'Скопје е '
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if len(input_text) == 0: \
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encoded_input = tokenizer(input_text, return_tensors="pt") \
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@@ -63,4 +63,4 @@ decoded_output = [] \
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for sample in output: \
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decoded_output.append(tokenizer.decode(sample, skip_special_tokens=True)) \
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print(decoded_output)
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### How to use
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Here is how to use this model to get the features of a given text in PyTorch:
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import random
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from transformers import AutoTokenizer, AutoModelWithLMHead
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tokenizer = AutoTokenizer.from_pretrained('macedonizer/mk-gpt2')
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model = AutoModelWithLMHead.from_pretrained('macedonizer/mk-gpt2')
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input_text = 'Скопје е '
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if len(input_text) == 0: \
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encoded_input = tokenizer(input_text, return_tensors="pt") \
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for sample in output: \
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decoded_output.append(tokenizer.decode(sample, skip_special_tokens=True)) \
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print(decoded_output)
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