初始化项目，由ModelHub XC社区提供模型

Model: Kabster/BioMistral-MedicalQA-FT
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+---
+
+# Model Card for BioMistral-MedicalQA-FT
+
+This is a fine-tuned BioMistral model based on the medical reasoning dataset - https://huggingface.co/datasets/mamachang/medical-reasoning 
+
+## Model Details
+
+This is a fine-tuned BioMistral model based on the medical reasoning dataset - https://huggingface.co/datasets/mamachang/medical-reasoning 
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Kabster/BioMistral-MedicalQA-FT"
+messages = [{"role": "user", "content": "Can bisoprolol cause insomnia?"}]
+
+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=0.2, top_k=100, top_p=0.95)
+print(outputs[0]["generated_text"])
+
+```