Instructions to use NTaylor/tiny-biobert-mimic-mp-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTaylor/tiny-biobert-mimic-mp-LORA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NTaylor/tiny-biobert-mimic-mp-LORA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6bc6d3822217ccb913039eac41306422943c43da0b5d32ff7654b4ac97c3fda
- Size of remote file:
- 165 kB
- SHA256:
- b6f67ad1a084391293e55ab0a593aab9be5343fe48d252ea810586ddd1754aa2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.