Instructions to use rafmacalaba/datause-extraction-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rafmacalaba/datause-extraction-v2 with PEFT:
Task type is invalid.
- Transformers
How to use rafmacalaba/datause-extraction-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rafmacalaba/datause-extraction-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f559ffc6889883ee2873e5179912dc06057b035fce588cc0e090f8b256b2706f
- Size of remote file:
- 3.64 GB
- SHA256:
- 9d237d85447f0774d2602c0f155e508ff3e70e25ee5a69fadc6560912b41b889
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