Instructions to use GT4SD/multitask-text-and-chemistry-t5-small-standard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GT4SD/multitask-text-and-chemistry-t5-small-standard with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GT4SD/multitask-text-and-chemistry-t5-small-standard") model = AutoModelForSeq2SeqLM.from_pretrained("GT4SD/multitask-text-and-chemistry-t5-small-standard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GT4SD/multitask-text-and-chemistry-t5-small-standard: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/GT4SD/multitask-text-and-chemistry-t5-small-standard/resolve/main/training_args.bin
- Command line
-
hf download hf://GT4SD/multitask-text-and-chemistry-t5-small-standard/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GT4SD/multitask-text-and-chemistry-t5-small-standard/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 9f6b9d2cb9ef08f8e10989175d62d9f070f44f8481ab5732917715b2d9215762
- Size of remote file:
- 3.44 kB
- SHA256:
- cda1ede2bfc86f9d3533cfd399d1037703452d503669d7f91f430dd615af9a3a
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