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 pytorch_model.bin from GT4SD/multitask-text-and-chemistry-t5-small-standard: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/GT4SD/multitask-text-and-chemistry-t5-small-standard/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://GT4SD/multitask-text-and-chemistry-t5-small-standard/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GT4SD/multitask-text-and-chemistry-t5-small-standard/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- f5769874728d7bbe853ff437175cca3b8c1149c783cbe4b53e7cfb0c623edcdd
- Size of remote file:
- 242 MB
- SHA256:
- f4a246836404d9909a4576d92230bb6161af40cbbac85edcd9b90ec2be46d8a2
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