Instructions to use danasone/model-brand8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danasone/model-brand8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("danasone/model-brand8") model = AutoModelForSeq2SeqLM.from_pretrained("danasone/model-brand8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79c684b97cfbe4c5a9583bb4f572733327b5f564c48cfbe8eaf3da0c8ce4931e
- Size of remote file:
- 6.96 GB
- SHA256:
- 1fe1ab6753eeb4d040de064706dc31bd258a73f736a6f747df20fb32b7a028f1
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