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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "4b5b4c55",
"metadata": {},
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"source": [
"import torch\n",
"from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
"from huggingface_hub import HfApi, HfFolder, Repository, create_repo\n",
"\n",
"# Asumsikan Anda telah melatih model dan tokenizer\n",
"model = AutoModelForSequenceClassification.from_pretrained(\"Phi2-Doctor20\")\n",
"tokenizer = AutoTokenizer.from_pretrained(\"Phi2-Doctor20\")\n",
"\n",
"# Buat repositori di Hugging Face\n",
"repo_name = \"Phi2-Doctor20\"\n",
"repo_id = f\"Indah1/{repo_name}\"\n",
"\n",
"# Cek apakah repositori sudah ada, jika belum buat baru\n",
"api = HfApi()\n",
"try:\n",
" api.create_repo(repo_id)\n",
"except Exception as e:\n",
" print(f\"Repository {repo_id} already exists or could not be created: {e}\")\n",
"\n",
"# Lokasi untuk menyimpan model sementara sebelum diupload\n",
"model_dir = \"./Phi2-Doctor20\"\n",
"model.save_pretrained(model_dir)\n",
"tokenizer.save_pretrained(model_dir)\n",
"\n",
"# Upload ke Hugging Face\n",
"repo = Repository(local_dir=model_dir, clone_from=repo_id)\n",
"repo.push_to_hub(commit_message=\"Upload my fine-tuned model\")\n"
]
}
],
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