Instructions to use Intercept-Intelligence/Txt-Analyst-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intercept-Intelligence/Txt-Analyst-AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intercept-Intelligence/Txt-Analyst-AI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Intercept-Intelligence/Txt-Analyst-AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - Intercept-Intelligence/TXT-Analyser-Test | |
| language: | |
| - en | |
| base_model: | |
| - google-bert/bert-base-uncased | |
| library_name: transformers | |
| pipeline_tag: text-classification | |