Delete README.md

README.md

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----
-tags:
-- merge
-- mergekit
-- lazymergekit
-- ab3223323/esgBERTv1_Access_to_Finance
-- ab3223323/esgBERTv1_Access_to_Communications
-base_model:
-- ab3223323/esgBERTv1_Access_to_Finance
-- ab3223323/esgBERTv1_Access_to_Communications
----
-
-# test
-
-test is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [ab3223323/esgBERTv1_Access_to_Finance](https://huggingface.co/ab3223323/esgBERTv1_Access_to_Finance)
-* [ab3223323/esgBERTv1_Access_to_Communications](https://huggingface.co/ab3223323/esgBERTv1_Access_to_Communications)
-
-## 🧩 Configuration
-
-```yaml
-slices:
-  - sources:
-      - model: ab3223323/esgBERTv1_Access_to_Finance
-        layer_range: [0, 12]
-      - model: ab3223323/esgBERTv1_Access_to_Communications
-        layer_range: [0, 12]
-merge_method: slerp
-base_model: ab3223323/esgBERTv1_Access_to_Finance
-parameters:
-  t:
-    - filter: self_attn
-      value: [0, 0.5, 0.3, 0.7, 1]
-    - filter: mlp
-      value: [1, 0.5, 0.7, 0.3, 0]
-    - value: 0.5
-dtype: bfloat16
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "ab3223323/test"
-messages = [{"role": "user", "content": "What is a large language model?"}]
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-print(outputs[0]["generated_text"])
-```