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:
# 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
- Xet hash:
- 58bcb8456709b4a23129d14ff0fdb5bde8589735cb2884d71fb3657468e56d6c
- Size of remote file:
- 859 MB
- SHA256:
- 742b46859841174bb02ba27327a1caf2d4a81f7d7387ed9988d3ef46615ca5e1
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