Remove library name and Transformers code snippet

README.md

@@ -1,7 +1,6 @@
 ---
 license: apache-2.0
 pipeline_tag: text-generation
-library_name: transformers
 tags:
   - text-generation
   - causal-lm
@@ -98,31 +97,6 @@ Performance evaluation is ongoing. The model shows promising results in:
 -   Significantly improved needle-in-haystack task performance compared to pure RWKV architectures
 -   Competitive performance on standard language modeling benchmarks
 
-## Usage with Hugging Face Transformers
-
-This model can be loaded and used with the `transformers` library. Ensure you have `transformers` installed: `pip install transformers`.
-When loading, remember to set `trust_remote_code=True` because of the custom architecture.
-
-```python
-from transformers import pipeline, AutoTokenizer
-import torch
-
-model_name = "OpenMOSE/HRWKV7-Reka-Flash3-Preview" # Replace with the actual model ID if different
-tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
-pipe = pipeline(
-    "text-generation",
-    model_name,
-    tokenizer=tokenizer,
-    torch_dtype=torch.bfloat16, # or torch.float16 depending on your GPU and model precision
-    device_map="auto",
-    trust_remote_code=True,
-)
-
-text = "The quick brown fox jumps over the lazy "
-result = pipe(text, max_new_tokens=20, do_sample=True, top_p=0.9, temperature=0.7)[0]["generated_text"]
-print(result)
-```
-
 ## Run with RWKV-Infer (as provided by original authors)
 -   RWKV-Infer now support hxa079
 ```bash