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Merge branch 'main' of https://huggingface.co/npvinHnivqn/stablelm_zephyr_3b_with_cross_attn

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  1. README.md +8 -9
README.md CHANGED
@@ -39,27 +39,26 @@ List 3 synonyms for the word "tiny"<|endoftext|>
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  This format is also available through the tokenizer's `apply_chat_template` method:
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  ```python
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- from transformers import AutoModelForCausalLM, AutoTokenizer
 
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- tokenizer = AutoTokenizer.from_pretrained('stabilityai/stablelm-zephyr-3b')
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  model = AutoModelForCausalLM.from_pretrained(
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- 'stabilityai/stablelm-zephyr-3b',
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  trust_remote_code=True,
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  device_map="auto"
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  )
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- prompt = [{'role': 'user', 'content': 'List 3 synonyms for the word "tiny"'}]
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  inputs = tokenizer.apply_chat_template(
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  prompt,
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  add_generation_prompt=True,
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  return_tensors='pt'
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  )
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-
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- tokens = model.generate(
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  inputs.to(model.device),
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- max_new_tokens=1024,
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- temperature=0.8,
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- do_sample=True
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  )
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  print(tokenizer.decode(tokens[0], skip_special_tokens=False))
 
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  This format is also available through the tokenizer's `apply_chat_template` method:
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  ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer, AutoModelForSeq2SeqLM
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+ import torch
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+ tokenizer = AutoTokenizer.from_pretrained('npvinHnivqn/stablelm_zephyr_3b_with_cross_attn')
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  model = AutoModelForCausalLM.from_pretrained(
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+ 'npvinHnivqn/stablelm_zephyr_3b_with_cross_attn',
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  trust_remote_code=True,
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  device_map="auto"
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  )
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+ prompt = [{'role': 'user', 'content': 'What make a dog bark?'}]
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  inputs = tokenizer.apply_chat_template(
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  prompt,
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  add_generation_prompt=True,
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  return_tensors='pt'
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  )
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+
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+ tokens = model(
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  inputs.to(model.device),
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+ torch.randn((1,19,2560)).to(model.device)
 
 
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  )
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  print(tokenizer.decode(tokens[0], skip_special_tokens=False))