Instructions to use declare-lab/flan-alpaca-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/flan-alpaca-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("declare-lab/flan-alpaca-xl") model = AutoModelForSeq2SeqLM.from_pretrained("declare-lab/flan-alpaca-xl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7a2d6177556cfa1a2ad109e6ea7b0a9615088d3a320ff9d45b1cfe6a2533754
- Size of remote file:
- 9.45 GB
- SHA256:
- e2043e586774d8665f910a60b6d01eca795fc29c9c33edc60db888cbb75409a8
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