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") - Notebooks
- Google Colab
- Kaggle
Quick Links
ebanko-base
Model was finetuned by black_samorez.
Based off sberbank-ai/ruT5-base.
Finetuned on russe_detox_2022 train to toxify text.
I recommend using it with temperature = 1.5
- Task:
text2text generation - Type:
encoder-decoder - Tokenizer:
bpe - Dict size:
32 101 - Num Parameters:
222 M
license: apache-2.0
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BlackSamorez/ebanko-base") model = AutoModelForSeq2SeqLM.from_pretrained("BlackSamorez/ebanko-base")