Instructions to use longcld/t5-small-e2e-qa-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5-small-e2e-qa-full with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5-small-e2e-qa-full") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5-small-e2e-qa-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from longcld/t5-small-e2e-qa-full: direct link, hf CLI and curl.
- Browser
- Download file 1.38 GB
-
https://huggingface.co/longcld/t5-small-e2e-qa-full/resolve/main/optimizer.pt
- Command line
-
hf download hf://longcld/t5-small-e2e-qa-full/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/longcld/t5-small-e2e-qa-full/resolve/main/optimizer.pt
1.38 GB
- Xet hash:
- e854912e9d95c442eac9eba2b2089f7ce120862ad89f01df9b0a76efc3eda587
- Size of remote file:
- 1.38 GB
- SHA256:
- 8f026eda995519627803ace49004b3bc7ea09e4718d606ea2a985c1aa49bec92
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