Instructions to use rishavranaut/flanT5_Task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishavranaut/flanT5_Task2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishavranaut/flanT5_Task2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishavranaut/flanT5_Task2") model = AutoModelForSequenceClassification.from_pretrained("rishavranaut/flanT5_Task2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 27500
Browse files
model.safetensors
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runs/Feb15_00-22-45_iit-p/events.out.tfevents.1739559172.iit-p
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