Instructions to use mrm8488/biomedtra-small-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/biomedtra-small-es with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("mrm8488/biomedtra-small-es") model = AutoModelForPreTraining.from_pretrained("mrm8488/biomedtra-small-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mrm8488/biomedtra-small-es: direct link, hf CLI and curl.
- Browser
- Download file 54.5 MB
-
https://huggingface.co/mrm8488/biomedtra-small-es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mrm8488/biomedtra-small-es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mrm8488/biomedtra-small-es/resolve/main/pytorch_model.bin
54.5 MB
- Xet hash:
- 65001607bb136ee5a18f0bbfcc0529d757ce4d4921714f2d2ebfa35fa4ff48e0
- Size of remote file:
- 54.5 MB
- SHA256:
- ffea9c3cb483a30e89a293ec08610d76a488c829a9795b9c5b85c77213aecf7e
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