Instructions to use AlanRobotics/instruct-T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/instruct-T5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/instruct-T5") model = AutoModelForSeq2SeqLM.from_pretrained("AlanRobotics/instruct-T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AlanRobotics/instruct-T5: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/AlanRobotics/instruct-T5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AlanRobotics/instruct-T5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AlanRobotics/instruct-T5/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 04774c8a84317d6f23ac4bf52e163e5970bc021011105c0a11be9986b561af57
- Size of remote file:
- 892 MB
- SHA256:
- 4dc3724cd7819757a2060dd724b416d539262d7db33ba13d278a5ea86d2ab508
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