Instructions to use braindao/iq-code-supervisor-misleading-data-location-v3-multilingual-e5-large-instruct-fastc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use braindao/iq-code-supervisor-misleading-data-location-v3-multilingual-e5-large-instruct-fastc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("braindao/iq-code-supervisor-misleading-data-location-v3-multilingual-e5-large-instruct-fastc", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| base_model: intfloat/multilingual-e5-large-instruct | |
| tags: | |
| - fastc | |
| - fastc-2.0 | |
| # iq-code-supervisor-misleading-data-location-v3-multilingual-e5-large-instruct-fastc | |
| ## Install fastc | |
| ```bash | |
| pip install fastc | |
| ``` | |
| ## Model Inference | |
| ```python | |
| from fastc import Fastc | |
| model = Fastc('braindao/iq-code-supervisor-misleading-data-location-v3-multilingual-e5-large-instruct-fastc') | |
| label = model.predict_one(text)['label'] | |
| ``` |