GPU support

ud.py

@@ -5,7 +5,7 @@ class UniversalDependenciesPipeline(TokenClassificationPipeline):
     import torch
     v=[self.tokenizer.cls_token_id]+[t for t,(s,e) in zip(model_inputs["input_ids"][0].tolist(),model_inputs["offset_mapping"][0].tolist()) if s<e]+[self.tokenizer.sep_token_id]
     with torch.no_grad():
-      e=self.model(input_ids=torch.tensor([v[0:i]+[self.tokenizer.mask_token_id]+v[i+1:]+[j] for i,j in enumerate(v[1:-1],1)]))
+      e=self.model(input_ids=torch.tensor([v[0:i]+[self.tokenizer.mask_token_id]+v[i+1:]+[j] for i,j in enumerate(v[1:-1],1)],device=self.device))
     return {"logits":e.logits[:,1:-2,:],**model_inputs}
   def postprocess(self,model_outputs,**kwargs):
     import numpy