Instructions to use rafmacalaba/datause-extraction-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rafmacalaba/datause-extraction-v8 with PEFT:
Task type is invalid.
- Transformers
How to use rafmacalaba/datause-extraction-v8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rafmacalaba/datause-extraction-v8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 663ff6656d4cefcc373881046e8a57d306b9726f6c5fc7f9412192710dc9f902
- Size of remote file:
- 1.76 GB
- SHA256:
- 4916a5ce13c21269f18af442b0f9e5c11919fa23126d1dffb548259158c02b52
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