amannagrawall002
/

bert-finetued-mrpc

@@ -1,90 +0,0 @@
-from huggingface_hub import Repository, HfApi
-from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
-import json
-# Initialize the Hugging Face API client
-api = HfApi()
-# Use the existing local repository
-repo = Repository("local-folder")
-repo.git_pull()
-# Load the model, tokenizer, and config from the existing checkpoint
-checkpoint_directory = "bert-finetuned-mrpc"
-model = AutoModelForSequenceClassification.from_pretrained(checkpoint_directory)
-tokenizer = AutoTokenizer.from_pretrained(checkpoint_directory)
-config = AutoConfig.from_pretrained(checkpoint_directory)
-# Get the repository name
-repo_name = "amannagrawall002/bert-finetued-mrpc"  # Replace this with your actual repository name
-# Generate model card content
-model_name = config.name_or_path.split('/')[-1]
-task = list(config.task_specific_params.keys())[0] if hasattr(config, 'task_specific_params') and config.task_specific_params else "sequence-classification"
-architecture = config.architectures[0] if hasattr(config, 'architectures') and config.architectures else "Unknown"
-model_card_content = f"""
----
-language: en
-tags:
-- {model_name}
-- {task}
-license: {config.license if hasattr(config, 'license') else 'unknown'}
----
-# {model_name.capitalize()} Fine-tuned for {task.replace('-', ' ').capitalize()}
-This model is a fine-tuned version of [{model_name}](https://huggingface.co/{config.name_or_path}) for {task.replace('-', ' ')} tasks.
-## Model description
-- Model architecture: {architecture}
-- Task: {task}
-- Training dataset: {config._name_or_path if hasattr(config, '_name_or_path') else 'Unknown'}
-- Number of parameters: {model.num_parameters():,}
-- Sequence length: {config.max_position_embeddings}
-- Vocab size: {config.vocab_size}
-- Hidden size: {config.hidden_size}
-- Number of attention heads: {config.num_attention_heads}
-- Number of hidden layers: {config.num_hidden_layers}
-## Intended uses & limitations
-This model is intended for {task.replace('-', ' ')} tasks. It has been fine-tuned on a specific dataset, so its performance may vary on different datasets or domains.
-## Training procedure
-The model was fine-tuned using the following hyperparameters:
-{json.dumps(config.to_dict(), indent=2)}
-## Evaluation results
-[Evaluation results to be added]
-"""
-with open(f"{repo.local_dir}/README.md", "w") as f:
-    f.write(model_card_content)
-# Add inference API code
-# pipeline_code = f"""
-# from transformers import pipeline
-# def inference(text):
-#     classifier = pipeline("{task}", model="{repo_name}")
-#     result = classifier(text)
-#     return result
-# """
-# with open(f"{repo.local_dir}/api.py", "w") as f:
-#     f.write(pipeline_code)
-# Commit and push changes
-repo.git_add()
-repo.git_commit("Added auto-generated model card")
-repo.git_push()
-# Enable the Inference API
-# api.add_space_secret(repo_name, "INFERENCE_ENDPOINT", f"https://api-inference.huggingface.co/models/{repo_name}")
-print("Auto-generated model card.")