Instructions to use longcld/t5-small-e2e-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5-small-e2e-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5-small-e2e-qa") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5-small-e2e-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from longcld/t5-small-e2e-qa: direct link, hf CLI and curl.
- Browser
- Download file 454 Bytes
-
https://huggingface.co/longcld/t5-small-e2e-qa/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://longcld/t5-small-e2e-qa/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/longcld/t5-small-e2e-qa/resolve/main/tokenizer_config.json
454 Bytes
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "sp_model_kwargs": {}, "special_tokens_map_file": "C:\\Users\\hydra/.cache\\huggingface\\transformers\\bde22e2f08347211bf47b72fb4730b4b9a2e3323a6a1254932cf0fb969eb18cd.b02fba13e4584f40329b20be0bad88c2ef97b5fda7d9f4f69b1cb3a620568a86", "tokenizer_file": null, "name_or_path": "longcld/t5_small_qg_ae_hl", "tokenizer_class": "T5Tokenizer"} |