Instructions to use HiTZ/medical_en-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/medical_en-eu with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HiTZ/medical_en-eu") model = AutoModelForSeq2SeqLM.from_pretrained("HiTZ/medical_en-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HiTZ/medical_en-eu: direct link, hf CLI and curl.
- Browser
- Download file 105 MB
-
https://huggingface.co/HiTZ/medical_en-eu/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HiTZ/medical_en-eu/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HiTZ/medical_en-eu/resolve/main/pytorch_model.bin
105 MB
- Xet hash:
- 2c3cfa744e9b0572dafe3cbbc1637eea925ad50aa47612983e5c7fa4dd21f76d
- Size of remote file:
- 105 MB
- SHA256:
- 333cc2efaece174710ec5df59ca868d9d16b8ac194c9f40bb75918c48a38fed8
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