Instructions to use a-l-m/nanoT5_logion_broken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a-l-m/nanoT5_logion_broken with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("a-l-m/nanoT5_logion_broken") model = AutoModelForSeq2SeqLM.from_pretrained("a-l-m/nanoT5_logion_broken", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.bin from a-l-m/nanoT5_logion_broken: direct link, hf CLI and curl.
- Browser
- Download file 2.2 GB
-
https://huggingface.co/a-l-m/nanoT5_logion_broken/resolve/main/optimizer.bin
- Command line
-
hf download hf://a-l-m/nanoT5_logion_broken/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/a-l-m/nanoT5_logion_broken/resolve/main/optimizer.bin
2.2 GB
- Xet hash:
- e030bad8679a6a7a3336223fe465755aeb5c44bca55d29c96a8f3cf5c64f80a8
- Size of remote file:
- 2.2 GB
- SHA256:
- c82d77c36db3aeac4be81daa46d95f594672f4cb0c496ae983ebaa06afa5ba0f
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