Instructions to use Akash24/facility_maint_albert_model_grouped1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akash24/facility_maint_albert_model_grouped1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Akash24/facility_maint_albert_model_grouped1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Akash24/facility_maint_albert_model_grouped1") model = AutoModelForSequenceClassification.from_pretrained("Akash24/facility_maint_albert_model_grouped1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7abbb8c21c5aa59d13cf090dde2194603599a86201257862473f6b4e0b92f552
- Size of remote file:
- 4.6 kB
- SHA256:
- d98c438b2ecb5a41da06ed3cdbfdce66e9b49f477d49088c700beb19ef8da414
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