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--- |
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license: apache-2.0 |
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base_model: |
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- google-bert/bert-base-uncased |
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--- |
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You can load the laff model using the following steps: |
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``` |
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import torch |
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from transformers import BertTokenizer, BertForSequenceClassification |
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from base_models import BinaryClassificationBertModel |
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from huggingface_hub import hf_hub_download |
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file_path = hf_hub_download(repo_id="mandeep-rathee/laff-model", filename="bert-base-laff.pth") |
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') |
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base_model_name = "bert-base-uncased" |
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tokenizer = BertTokenizer.from_pretrained(base_model_name, torch_dtype=torch.float16) |
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base_model = BertForSequenceClassification.from_pretrained(base_model_name, num_labels=1,torch_dtype=torch.float16) |
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model = BinaryClassificationBertModel(base_model) |
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model.load_state_dict(torch.load(file_path, map_location=device)) |
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model.to(device) |
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``` |
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