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Model: Elizezen/Berghof-NSFW-7B Source: Original Platform
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README.md
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README.md
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---
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language:
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- ja
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tags:
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- causal-lm
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- not-for-all-audiences
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- nsfw
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pipeline_tag: text-generation
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---
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# Berghof NSFW 7B
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<img src="https://huggingface.co/Elizezen/Berghof-vanilla-7B/resolve/main/OIG1%20(2).jpg" alt="drawing" style="width:512px;"/>
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## Model Description
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多分これが一番強いと思います
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## Usage
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Ensure you are using Transformers 4.34.0 or newer.
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("Elizezen/Berghof-NSFW-7B")
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model = AutoModelForCausalLM.from_pretrained(
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"Elizezen/Berghof-NSFW-7B",
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torch_dtype="auto",
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)
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model.eval()
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if torch.cuda.is_available():
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model = model.to("cuda")
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input_ids = tokenizer.encode(
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"吾輩は猫である。名前はまだない",,
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add_special_tokens=True,
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return_tensors="pt"
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)
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tokens = model.generate(
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input_ids.to(device=model.device),
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max_new_tokens=512,
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temperature=1,
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top_p=0.95,
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do_sample=True,
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)
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out = tokenizer.decode(tokens[0][input_ids.shape[1]:], skip_special_tokens=True).strip()
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print(out)
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```
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### Intended Use
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The model is mainly intended to be used for generating novels. It may not be so capable with instruction-based responses.
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