Instructions to use DimaOrekhov/cubert-method-name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimaOrekhov/cubert-method-name with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DimaOrekhov/cubert-method-name") model = AutoModelForSeq2SeqLM.from_pretrained("DimaOrekhov/cubert-method-name", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from DimaOrekhov/cubert-method-name: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/DimaOrekhov/cubert-method-name/resolve/main/.gitattributes
- Command line
-
hf download hf://DimaOrekhov/cubert-method-name/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/DimaOrekhov/cubert-method-name/resolve/main/.gitattributes
345 Bytes
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