Instructions to use hiiamsid/est5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiiamsid/est5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hiiamsid/est5-base") model = AutoModelForSeq2SeqLM.from_pretrained("hiiamsid/est5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hiiamsid/est5-base: direct link, hf CLI and curl.
- Browser
- Download file 950 MB
-
https://huggingface.co/hiiamsid/est5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hiiamsid/est5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hiiamsid/est5-base/resolve/main/pytorch_model.bin
950 MB
- Xet hash:
- b05cbfd7a6660c871caab3aa136d7c038d9c8b4c4367a715b2780de322d9880c
- Size of remote file:
- 950 MB
- SHA256:
- 574c87d933296327da6d78b55000820ae4e188c71985d5fce6652aa6306c006e
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