Instructions to use Muhammadidrees/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Muhammadidrees/Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Muhammadidrees/Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Muhammadidrees/Model") model = AutoModelForSequenceClassification.from_pretrained("Muhammadidrees/Model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1.57 kB
- 5.17 kB
- 16.7 kB
- 1.63 kB
- 4.55 GB xet
- 4.46 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.29 GB xet
- 3.19 GB xet
- 33.6 kB
- 440 Bytes
- 27.9 MB xet
- 4.2 kB