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sciwing's Issues

How to run SciWing on GPU?

This package is amazing, so thank you so much! I'm trying to parse a bunch of documents and I noticed that despite a GPU being available and torch recognizing it, the sciwing package won't run its models on the GPU. For example, if I run this code:

    from sciwing.models.neural_parscit import NeuralParscit
    neural_parscit = NeuralParscit()   
    device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')
    neural_parscit.to(device)

I get the following error suggesting that the model won't put the data on to the GPU.

  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/models/neural_parscit.py", line 164, in predict_for_text
    predictions = self._predict(line=text)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/models/neural_parscit.py", line 111, in _predict
    predictions = self.infer.on_user_input(line=line)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/infer/seq_label_inference/seq_label_inference.py", line 285, in on_user_input
    return self.infer_batch(lines=[line])
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/infer/seq_label_inference/seq_label_inference.py", line 298, in infer_batch
    model_output_dict = self.model_forward_on_lines(lines=lines_)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/infer/seq_label_inference/seq_label_inference.py", line 140, in model_forward_on_lines
    model_output_dict = self.model(
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/models/rnn_seq_crf_tagger.py", line 115, in forward
    encoding = self.rnn2seqencoder(lines=lines)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/modules/lstm2seqencoder.py", line 121, in forward
    embeddings = self.embedder(lines=lines)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/modules/embedders/concat_embedders.py", line 46, in forward
    embedding = embedder(lines)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/sciwing/modules/embedders/trainable_word_embedder.py", line 75, in forward
    embedding = self.embedding(numericalized_tokens)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/torch/nn/modules/sparse.py", line 156, in forward
    return F.embedding(
  File "/opt/anaconda/envs/sciwing/lib/python3.8/site-packages/torch/nn/functional.py", line 1916, in embedding
    return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Input, output and indices must be on the current device

Is there a standard way of having SciWing run on a GPU? I couldn't find anything in the documentation or poking around. Thanks!

Vector file for Neural-Parscit

I have intention to use a Vector File for Neural-ParsCit. Can someone please guide me how I can achieve this using sciwing?

I appreciate this great help.

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