Instructions to use Gunulhona/tbnymodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gunulhona/tbnymodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gunulhona/tbnymodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gunulhona/tbnymodel") model = AutoModelForSequenceClassification.from_pretrained("Gunulhona/tbnymodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6d4be8ad14df25f2e02ec71aa539e689f05a3dd233edb8fb124bac88e0af630
- Size of remote file:
- 498 MB
- SHA256:
- 9b351ce7dee686dfe534b9dab5eeeb435f917a5b6d2364e8177cc0b2a162e057
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