Instructions to use oeg/esT5s-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oeg/esT5s-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("oeg/esT5s-base") model = AutoModelForSeq2SeqLM.from_pretrained("oeg/esT5s-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from oeg/esT5s-base: direct link, hf CLI and curl.
- Browser
- Download file 950 MB
-
https://huggingface.co/oeg/esT5s-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://oeg/esT5s-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/oeg/esT5s-base/resolve/main/pytorch_model.bin
950 MB
- Xet hash:
- 2216e61bffa2cc89c86a17c6aa21001b6b072e7eb9b98252af6af0e7df8ed29e
- Size of remote file:
- 950 MB
- SHA256:
- 7531c8bb7fe88f06d24fb1561ce3d770507e1f1b665a32580be05f9747b3d580
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