Instructions to use muhtarrrrrrr/law-tiny-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtarrrrrrr/law-tiny-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="muhtarrrrrrr/law-tiny-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("muhtarrrrrrr/law-tiny-model") model = AutoModelForSequenceClassification.from_pretrained("muhtarrrrrrr/law-tiny-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 810b5a156f273487687d827347e89c9aaf0c226020c1f9e5746ad19e5bfb57e0
- Size of remote file:
- 5.2 kB
- SHA256:
- 6ad33e9ee9498e25fbda63e1732e9d510a0eed7707ceba9d07e2053eefe4cd3c
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