Instructions to use Qusaiiii/Accountant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qusaiiii/Accountant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Qusaiiii/Accountant")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Qusaiiii/Accountant") model = AutoModelForCausalLM.from_pretrained("Qusaiiii/Accountant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a1e59a0463acda08f3b314bbc4d08036b35c3ae7499a2db003a69910089b092
- Size of remote file:
- 5.24 kB
- SHA256:
- 813062ba8003f1b08fe674315d9f8b4a9929c631d53749d8e4d1bc9b3599ca40
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