Instructions to use Deojoandco/capstone_hal_without_gold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deojoandco/capstone_hal_without_gold with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Deojoandco/capstone_hal_without_gold")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Deojoandco/capstone_hal_without_gold") model = AutoModelForTokenClassification.from_pretrained("Deojoandco/capstone_hal_without_gold", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14360069124b0b6b633d3cbaecad4f599f2942c6be511f593b3d6f758097bb51
- Size of remote file:
- 510 MB
- SHA256:
- 6ed9a0e542cff9de96d3dc89fdce159781ae707e7024d739e0f5e751ae8e75e7
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