Instructions to use pepegiallo/flan-t5-base_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pepegiallo/flan-t5-base_ner with Transformers:
# Load model directly from transformers import FlanT5Classifier model = FlanT5Classifier.from_pretrained("pepegiallo/flan-t5-base_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "FlanT5Classifier" | |
| ], | |
| "base_model_name": "google/flan-t5-base", | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3" | |
| }, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2, | |
| "LABEL_3": 3 | |
| }, | |
| "model_type": "flan-t5-classifier", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.50.3" | |
| } | |