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Parent(s): efba808
Update README.md
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README.md
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@@ -4,4 +4,24 @@ license: mit
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- বহুল আলোচিত দশম জাতীয় সংসদ
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- গাজীপুরের কালিয়াকৈর উপজেলার তেলিরচালা
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widget:
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- বহুল আলোচিত দশম জাতীয় সংসদ
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- গাজীপুরের কালিয়াকৈর উপজেলার তেলিরচালা
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---
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("saiful9379/Bangla_GPT2")
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model = AutoModelForCausalLM.from_pretrained("saiful9379/Bangla_GPT2")
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text = "বহুল আলোচিত দশম জাতীয় সংসদ"
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input_ids = tokenizer.encode(text, return_tensors='tf')
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output = model.generate(
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input_ids,
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max_length=175,
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num_beams=10,
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temperature=0.7,
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no_repeat_ngram_size=2,
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num_return_sequences=5
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)
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predicted_text = tokenizer.decode(output[0], skip_special_tokens=True)
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print(predicted_text)
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