README.md

---
language:
- ja
tags:
- causal-lm
- not-for-all-audiences
- nsfw
pipeline_tag: text-generation
---

# Berghof NSFW 7B

<img src="https://huggingface.co./Elizezen/Berghof-vanilla-7B/resolve/main/OIG1%20(2).jpg" alt="drawing" style="width:512px;"/>

## Model Description

多分これが一番強いと思います

## Usage

Ensure you are using Transformers 4.34.0 or newer.

```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Elizezen/Berghof-NSFW-7B")
model = AutoModelForCausalLM.from_pretrained(
  "Elizezen/Berghof-NSFW-7B",
  torch_dtype="auto",
)
model.eval()

if torch.cuda.is_available():
    model = model.to("cuda")

input_ids = tokenizer.encode(
    "吾輩は猫である。名前はまだない",, 
    add_special_tokens=True, 
    return_tensors="pt"
)

tokens = model.generate(
    input_ids.to(device=model.device),
    max_new_tokens=512,
    temperature=1,
    top_p=0.95,
    do_sample=True,
)

out = tokenizer.decode(tokens[0][input_ids.shape[1]:], skip_special_tokens=True).strip()
print(out)
```

### Intended Use

The model is mainly intended to be used for generating novels. It may not be so capable with instruction-based responses.