import json import requests API_URL = "https://api-inference.huggingface.co/models/allenai/unifiedqa-t5-small" headers = {"Authorization": f"Bearer {API_TOKEN}"} def query(payload): data = json.dumps(payload) response = requests.request("POST", API_URL, headers=headers, data=data) return json.loads(response.content.decode("utf-8")) data = query({"inputs": "The answer to the universe is"})
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/unifiedqa-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/unifiedqa-t5-small")
git lfs install git clone https://huggingface.co/allenai/unifiedqa-t5-small
# if you want to clone without large files – just their pointers # prepend your git clone with the following env var: GIT_LFS_SKIP_SMUDGE=1
