Instructions to use BlackSamorez/ebanko-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlackSamorez/ebanko-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BlackSamorez/ebanko-base") model = AutoModelForSeq2SeqLM.from_pretrained("BlackSamorez/ebanko-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2649c3756b63af7641cad9bbd917f175f0cfd5387b2011c3dfe1463b968b48e
- Size of remote file:
- 892 MB
- SHA256:
- 920fe47a7dd9f9dee2a72b3adecac9c83037fbb5ac32ad50c64850baaa611a28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.