Instructions to use Pclanglais/t5-small-common-corpus-topic-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pclanglais/t5-small-common-corpus-topic-simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pclanglais/t5-small-common-corpus-topic-simple") model = AutoModelForSeq2SeqLM.from_pretrained("Pclanglais/t5-small-common-corpus-topic-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Pclanglais/t5-small-common-corpus-topic-simple: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Pclanglais/t5-small-common-corpus-topic-simple/resolve/main/training_args.bin
- Command line
-
hf download hf://Pclanglais/t5-small-common-corpus-topic-simple/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Pclanglais/t5-small-common-corpus-topic-simple/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 7d65a746187ce556690417b7d41b37ed5d6e17e6472ef7248f98a71db79b62e9
- Size of remote file:
- 5.3 kB
- SHA256:
- e58966126a4c142b1139e7cfcdfe3f9521715b82331b799ce37966b115c5f7c1
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