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:
- e0ec71a981b1f7519cd0a6a148045a17c2662e3f5d9422445fae4fcf613d0690
- Size of remote file:
- 2.8 kB
- SHA256:
- 0868dff65625d28408737b7217c68e86d01510fbe1d74a54d3f52c4282da8742
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