Adding `safetensors` variant of this model

README.md

@@ -42,26 +42,6 @@ This model is a **preview release** intended for:
 - Evaluation and benchmarking  
 - Research in low- and high-resource European languages  
 
-
-## Use with transformers
-
-Quick start with `Transformers` both for GPU and CPU enabled envs:
-
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
-import torch
-
-model_name = "minilingua-ai/MiniLingua-1b-Instruct"
-
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", dtype=torch.float16)
-gen = pipeline("text-generation", model=model, tokenizer=tokenizer, trust_remote_code=True)
-
-prompt = "Translate from Bulgarian: Здравейте! Как сте? Translation:"
-out = gen(prompt, max_new_tokens=128, do_sample=False)
-print(out[0])
-```
-
 ## Limitations
 
 - This version is a first-stage SFT release; alignment steps is not applied.

pytorch_model.bin

@@ -1,3 +0,0 @@
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