Instructions to use tscholak/3vnuv1vf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tscholak/3vnuv1vf with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tscholak/3vnuv1vf") model = AutoModelForSeq2SeqLM.from_pretrained("tscholak/3vnuv1vf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54fb283fda815b4734ef209647ebe53400d7133aa7b0d78e06483980623218e6
- Size of remote file:
- 3.13 GB
- SHA256:
- e0c238be65dcce27d5cf034ee3c49446007e77db71e9bd150041b633c2f94f6e
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