{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "4b5b4c55", "metadata": {}, "outputs": [], "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" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.13" } }, "nbformat": 4, "nbformat_minor": 5 }