inkyant
commited on
Commit
β’
0e46a0b
1
Parent(s):
991f437
add easy inference
Browse files- README.md +0 -3
- adapter_config.json β adapter_model/adapter_config.json +0 -0
- adapter_model.safetensors β adapter_model/adapter_model.safetensors +0 -0
- run.py +32 -0
- special_tokens_map.json β tokenizer/special_tokens_map.json +0 -0
- tokenizer.json β tokenizer/tokenizer.json +0 -0
- tokenizer.model β tokenizer/tokenizer.model +0 -0
- tokenizer_config.json β tokenizer/tokenizer_config.json +0 -0
README.md
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gemma-2b-dolly-qa
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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results: []
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---
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# gemma-2b-dolly-qa
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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adapter_config.json β adapter_model/adapter_config.json
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adapter_model.safetensors β adapter_model/adapter_model.safetensors
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run.py
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import torch, sys
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from peft import PeftModel
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import warnings
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warnings.filterwarnings("ignore")
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access_token = sys.argv[2]
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device = "xpu:0" if sys.argv[1] == "gpu" else "cpu:0"
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tokenizer = AutoTokenizer.from_pretrained("./tokenizer/")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "right"
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base_model = AutoModelForCausalLM.from_pretrained(
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"google/gemma-2b",
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token=access_token,
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low_cpu_mem_usage=True,
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return_dict=True,
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torch_dtype=torch.bfloat16,
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)
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model = PeftModel.from_pretrained(base_model, "adapter_model")
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model = model.to(device)
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print("Prompt:", " ".join(sys.argv[3:]))
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inputs = tokenizer(" ".join(sys.argv[3:]), return_tensors="pt").to(device)
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outputs = model.generate(**inputs, max_new_tokens=200,
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do_sample=False, top_k=100,temperature=0.1,
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eos_token_id=tokenizer.eos_token_id)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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special_tokens_map.json β tokenizer/special_tokens_map.json
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tokenizer.json β tokenizer/tokenizer.json
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tokenizer.model β tokenizer/tokenizer.model
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tokenizer_config.json β tokenizer/tokenizer_config.json
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