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- README.md +11 -0
- app.py +4 -0
- requirements.txt +2 -1
.gitignore
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__pycache__
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README.md
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---
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language: en
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tags:
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- pytorch
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- protocol emulation
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library_name: transformers
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pipeline_tag: protocol emulation
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---
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# Model
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This is a model fine-tuned using PyTorch Lightning...
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app.py
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import torch
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from model import Byt5LightningModule
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<<<<<<< HEAD
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model = torch.load("model.pt", map_location=torch.device("cpu"), weights_only=True)
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=======
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model = torch.load("model.pt", map_location=torch.device("cpu"))
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>>>>>>> 4524122 (initial commit)
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model.eval()
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def predict(input_list):
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import torch
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from model import Byt5LightningModule
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<<<<<<< HEAD
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<<<<<<< HEAD
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model = torch.load("model.pt", map_location=torch.device("cpu"), weights_only=True)
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=======
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model = torch.load("model.pt", map_location=torch.device("cpu"))
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>>>>>>> 4524122 (initial commit)
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=======
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model = torch.load("model.pt", map_location=torch.device("cpu"), weights_only=True)
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>>>>>>> 0efc206 (initial commit)
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model.eval()
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def predict(input_list):
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requirements.txt
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torch
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gradio
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transformers
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-
gradio
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torch
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gradio
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transformers
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gradio
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transformers
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