Spaces:
Sleeping
Sleeping
File size: 2,302 Bytes
bf399da |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/shaenazar/anaconda3/envs/dsenv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"import torch\n",
"from transformers import T5Tokenizer, T5ForConditionalGeneration\n",
"\n",
"model_name = \"sarahai/ruT5-base-summarizer\"\n",
"model_path = \"data/checkpoint\"\n",
"\n",
"model = T5ForConditionalGeneration.from_pretrained(model_path)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"model.safetensors: 100%|ββββββββββ| 892M/892M [01:13<00:00, 12.2MB/s] \n"
]
},
{
"data": {
"text/plain": [
"CommitInfo(commit_url='https://huggingface.co/ShaeNaZar/YsdaSummarizer/commit/fbd9cbe753c47653b6418165c948f69dc160954e', commit_message='Upload T5ForConditionalGeneration', commit_description='', oid='fbd9cbe753c47653b6418165c948f69dc160954e', pr_url=None, repo_url=RepoUrl('https://huggingface.co/ShaeNaZar/YsdaSummarizer', endpoint='https://huggingface.co', repo_type='model', repo_id='ShaeNaZar/YsdaSummarizer'), pr_revision=None, pr_num=None)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.push_to_hub(\"ShaeNaZar/YsdaSummarizer\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "dsenv",
"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": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|