Instructions to use ademax/metadata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ademax/metadata with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ademax/metadata") model = AutoModelForSeq2SeqLM.from_pretrained("ademax/metadata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fa904dc279d3f9b0055cafbdcae99e15e6549e0848474c48922255773a2beb0
- Size of remote file:
- 904 MB
- SHA256:
- e7504bba1e3d4819d480b16ee4ea24ae89ed3a70929844d65c221e9d8914b820
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