初始化项目，由ModelHub XC社区提供模型

Model: fava-uw/fava-model
Source: Original Platform

README.md

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+---
+license: mit
+---
+FAVA, a verification model.
+
+```
+import torch
+import vllm
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+model = vllm.LLM(model="fava-uw/fava-model")
+sampling_params = vllm.SamplingParams(
+  temperature=0,
+  top_p=1.0,
+  max_tokens=1024,
+)
+
+INPUT = "Read the following references:\n{evidence}\nPlease identify all the errors in the following text using the information in the references provided and suggest edits if necessary:\n[Text] {output}\n[Edited] "
+
+output = "" # add your passage to verify
+evidence = "" # add a piece of evidence
+prompts = [INPUT.format_map({"evidence": evidence, "output": output})]
+outputs = model.generate(prompts, sampling_params)
+outputs = [it.outputs[0].text for it in outputs]
+print(outputs[0])
+```