Instructions to use rorschach-40/flan-t5-small-batch_1-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rorschach-40/flan-t5-small-batch_1-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rorschach-40/flan-t5-small-batch_1-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rorschach-40/flan-t5-small-batch_1-text-classification") model = AutoModelForSequenceClassification.from_pretrained("rorschach-40/flan-t5-small-batch_1-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
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